{"689428":{"#nid":"689428","#data":{"type":"news","title":"Researchers Build AI Tutor Grounded in Course Materials","body":[{"value":"\u003Cp\u003EAs students increasingly turn to artificial intelligence (AI) to help with coursework, some worry that their learning could be compromised. Georgia Tech researchers are working to counter this potential decline with an AI tool they hope will promote learning rather than hinder it.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ETokenSmith is a citation-supported large language model (LLM) tutor that can be hosted locally on a user\u2019s personal computer. The tutor only provides answers based on course materials, such as the textbook or lecture slides.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAssociate Professor \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~jarulraj\/\u0022\u003E\u003Cstrong\u003EJoy Arulraj\u003C\/strong\u003E\u003C\/a\u003E began the project with support from the \u003Ca href=\u0022https:\/\/research.gatech.edu\/c21u-announces-inaugural-bill-kent-ai-higher-education-fellows\u0022\u003E\u003Cstrong\u003EBill Kent Family Foundation AI in Higher Education Faculty Fellowship\u003C\/strong\u003E\u003C\/a\u003E last year. The fellowship, led by Georgia Tech\u2019s Center for 21st Century Universities, supports faculty projects exploring innovative and ethical uses of AI in teaching.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EArulraj has enlisted assistant professors \u003Ca href=\u0022https:\/\/kexinrong.github.io\/\u0022\u003E\u003Cstrong\u003EKexin Rong\u003C\/strong\u003E\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/steve.mussmann.us\/\u0022\u003E\u003Cstrong\u003ESteve Mussmann\u003C\/strong\u003E\u003C\/a\u003E to help build TokenSmith.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMussmann said TokenSmith is a synergistic blend of a database system and a machine learning system. The model stores textbooks, textbook annotations by course staff, common questions and answers, a learning state of the student, and student feedback in a structured database system. However, machine learning plays a key role in the answer generation as well as adapting the system to the student, course staff guidance, and user feedback.\u003C\/p\u003E\u003Cp\u003E\u0022What excites me most is demonstrating how data-driven ML and principled database systems design can reinforce each other \u2014 one providing adaptability and flexibility, the other providing structure and traceability \u2014 in a way that benefits students,\u0022 Mussmann said.\u003C\/p\u003E\u003Cp\u003EKeeping the model local has been an important focus of the project. The team wanted to create an AI tutor that helps students learn from their class resources rather than just giving answers. With each response, TokenSmith cites the origin of the answer in the provided documents.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cOne problem with LLMs is that they can hallucinate and provide wrong answers, but in this controlled environment, we can add these guardrails to make sure it\u2019s actually helpful in an educational setting,\u201d Rong said.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERong said she feels that students often undervalue textbooks, and she hopes TokenSmith can motivate students to make better use of them.\u202f\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cTextbooks can sometimes be daunting, but maybe if we combine them with the model, students might be more willing to read a paragraph or page in the textbook, and that could help clarify something for them,\u201d she said.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ERunning the model locally is more cost-effective and helps preserve the user\u2019s privacy. But running the new tool locally comes with technical challenges.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EOne challenge with creating the model is speed. Since it is a locally based model, TokenSmith depends solely on the user\u2019s computer memory. \u0026nbsp;Tests have also shown that the tutor currently struggles to answer more complex questions.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are interested in pushing the boundaries of these local models so that they give students good answers and also run fast enough to keep students engaged,\u201d Arulraj said.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ETokenSmith is a citation-supported large language model (LLM) tutor that can be hosted locally on a user\u2019s personal computer. The tutor only provides answers based on course materials, such as the textbook or lecture slides.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAssociate Professor \u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~jarulraj\/\u0022\u003E\u003Cstrong\u003EJoy Arulraj\u003C\/strong\u003E\u003C\/a\u003E began the project with support from the \u003Ca href=\u0022https:\/\/research.gatech.edu\/c21u-announces-inaugural-bill-kent-ai-higher-education-fellows\u0022\u003E\u003Cstrong\u003EBill Kent Family Foundation AI in Higher Education Faculty Fellowship\u003C\/strong\u003E\u003C\/a\u003E last year. The fellowship, led by Georgia Tech\u2019s Center for 21st Century Universities, supports faculty projects exploring innovative and ethical uses of AI in teaching.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"TokenSmith is a citation-supported large language model (LLM) tutor that can be hosted locally on a user\u2019s personal computer. The tutor only provides answers based on course materials, such as the textbook or lecture slides.  "}],"uid":"36532","created_gmt":"2026-04-02 20:25:02","changed_gmt":"2026-04-02 20:30:36","author":"Morgan Usry","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-04-02T00:00:00-04:00","iso_date":"2026-04-02T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679842":{"id":"679842","type":"image","title":"AI-Tutor-Image.jpg.jpeg","body":null,"created":"1775161510","gmt_created":"2026-04-02 20:25:10","changed":"1775161510","gmt_changed":"2026-04-02 20:25:10","alt":"Graphic showing the researchers in front of a computer screen","file":{"fid":"264048","name":"AI-Tutor-Image.jpg.jpeg","image_path":"\/sites\/default\/files\/2026\/04\/02\/AI-Tutor-Image.jpg.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/02\/AI-Tutor-Image.jpg.jpeg","mime":"image\/jpeg","size":321180,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/02\/AI-Tutor-Image.jpg.jpeg?itok=yDJdQ838"}}},"media_ids":["679842"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50875","name":"School of Computer Science"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"42911","name":"Education"},{"id":"135","name":"Research"}],"keywords":[{"id":"193860","name":"Artifical Intelligence"},{"id":"192863","name":"go-ai"},{"id":"194701","name":"go-resarchnews"},{"id":"9153","name":"Research Horizons"},{"id":"10199","name":"Daily Digest"},{"id":"194394","name":"AI in Education"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMorgan Usry, Communications Officer\u003C\/p\u003E","format":"limited_html"}],"email":["morgan.usry@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"689051":{"#nid":"689051","#data":{"type":"news","title":"Smarter, Faster, and More Human: A Leap Toward General-Purpose Robots","body":[{"value":"\u003Cp\u003ERobots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, humanlike tasks are too nuanced to be efficiently programmed step by step.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWith imitation learning, humans demonstrate a task and robots learn to copy what they see through cameras and sensors. While at the leading edge of robotics research, this approach is limited by a major constraint: Robots can only work as fast as the people who taught them.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENow, Georgia Tech researchers have \u003Ca href=\u0022https:\/\/arxiv.org\/abs\/2506.11948\u0022\u003Ecreated a tool\u003C\/a\u003E that smashes that speed barrier. The system allows robots to execute complex tasks significantly faster than human demonstrations while maintaining precision, control, and safety.\u003C\/p\u003E\u003Cp\u003EThe team addresses a central challenge in modern robotics: how to combine the flexibility of learning from humans with the speed and reliability required for real-world deployment. The technology could lead to wider adoption of imitation learning in industrial and household applications and even enable robots to execute humanlike tasks better than ever before.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe thing we\u2019re trying to create \u2014 and I would argue industry is also trying to create \u2014 is a general-purpose robot that can do any task that human hands can do,\u201d said \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/18047\u0022\u003EShreyas Kousik\u003C\/a\u003E, assistant professor in the George W. Woodruff School of Mechanical Engineering and a co-lead author on the study. \u201cTo make that work outside the lab, speed really matters.\u201d\u003C\/p\u003E\u003Cp\u003EThe new tool, \u003Ca href=\u0022https:\/\/nadunranawaka1.github.io\/sail-policy\/\u0022\u003ESAIL\u003C\/a\u003E (Speed Adaptation for Imitation Learning), was born out of a cross-campus, interdisciplinary collaboration that brought together expertise in mechanical engineering, robotics systems, and machine learning. The research team includes Kousik; \u003Ca href=\u0022https:\/\/research.gatech.edu\/people\/benjamin-joffe\u0022\u003EBenjamin Joffe\u003C\/a\u003E, senior research scientist at the Georgia Tech Research Institute; and \u003Ca href=\u0022https:\/\/people.research.gatech.edu\/node\/17511\u0022\u003EDanfei Xu\u003C\/a\u003E, assistant professor in the School of Interactive Computing, along with graduate students and researchers from multiple labs.\u003C\/p\u003E\u003Ch3\u003E\u003Cstrong\u003ESpeed Without Sacrifice\u003C\/strong\u003E\u003C\/h3\u003E\u003Cp\u003ETeaching robots to work faster than the speed of human demonstrations is challenging. Robots can behave differently at higher speeds, and small changes in the environment can cause errors.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe challenge is that a robot is limited to the data it was trained on, and any changes in the environment can cause it to fail,\u201d Kousik said.\u003C\/p\u003E\u003Cp\u003ESAIL addresses this challenge through a modular approach, with separate components working together to accelerate beyond the training data. The system keeps motions smooth at high speed, tracks movements accurately, adjusts speed dynamically based on task complexity, and schedules actions to account for hardware delays. This combination allows robots to move quickly while staying stable, coordinated, and precise.\u003C\/p\u003E\u003Cp\u003E\u201cOne of the gaps we saw was that our academic robotics systems could do impressive things, but they weren\u2019t fast or robust enough for practical use,\u201d Joffe said. \u201cWe wanted to study that gap carefully and design a system that addressed it end to end.\u201d\u003C\/p\u003E\u003Cp\u003EHe added, \u201cThe goal is not just to make robots faster, but to make them smart enough to know when speed helps and when it could cause mistakes.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe team evaluated SAIL\u2019s performance across 12 tasks, both in simulation and on two physical robot platforms. Tasks included stacking cups, folding cloth, plating fruit, packing food items, and wiping a whiteboard. In most cases, SAIL-enabled robots completed tasks three to four times faster than standard imitation-learning systems without losing accuracy.\u003C\/p\u003E\u003Cp\u003EOne exception was the whiteboard-wiping task, where maintaining contact made high-speed execution difficult.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u201cUnderstanding where speed helps and where it hurts is critical,\u201d Kousik said. \u201cSometimes slowing down is the right decision.\u201d\u003C\/p\u003E\u003Cp\u003EWhile SAIL does not make robots universally adaptable on its own, it represents an important step toward robotic systems that can learn from humans without being constrained by human pace.\u003C\/p\u003E\u003Cp\u003EBy showing how learned robotic behaviors can be accelerated safely and systematically, SAIL brings imitation learning closer to real-world use \u2014 where speed, precision, and reliability all matter.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECitation: Ranawaka Arachchige, et. al. \u201cSAIL: Faster-than-Demonstration Execution of Imitation Learning Policies,\u201d Conference on Robot Learning (CoRL), 2025.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDOI: \u003Ca href=\u0022https:\/\/doi.org\/10.48550\/arXiv.2506.11948\u0022\u003Ehttps:\/\/doi.org\/10.48550\/arXiv.2506.11948\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EFunding: The authors would like to acknowledge the State of Georgia and the Agricultural Technology Research Program at Georgia Tech for supporting the work described in this paper.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ENew AI system lets robots work faster than their human teachers without sacrificing accuracy.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"New AI system lets robots work faster than their human teachers without sacrificing accuracy."}],"uid":"36123","created_gmt":"2026-03-19 15:38:45","changed_gmt":"2026-04-02 17:45:33","author":"Catherine Barzler","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-19T00:00:00-04:00","iso_date":"2026-03-19T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679690":{"id":"679690","type":"image","title":"robot-med.png","body":"\u003Cp\u003EPancake-flipping robots could be just around the corner thanks to a new robot learning system from Georgia Tech. (Credit: Adobe Stock)\u003C\/p\u003E","created":"1773934781","gmt_created":"2026-03-19 15:39:41","changed":"1773937931","gmt_changed":"2026-03-19 16:32:11","alt":"A white humanoid robot holds a blue pan while standing in a kitchen with a green backsplash","file":{"fid":"263881","name":"robot-med.png","image_path":"\/sites\/default\/files\/2026\/03\/19\/robot-med.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/19\/robot-med.png","mime":"image\/png","size":2989840,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/19\/robot-med.png?itok=2EUbFZa1"}},"679687":{"id":"679687","type":"video","title":" SAIL System Brings Us Closer to General-Purpose Robots","body":null,"created":"1773933476","gmt_created":"2026-03-19 15:17:56","changed":"1773933476","gmt_changed":"2026-03-19 15:17:56","video":{"youtube_id":"c1MbisHP75w","video_url":"https:\/\/youtu.be\/c1MbisHP75w"}}},"media_ids":["679690","679687"],"groups":[{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"193653","name":"Georgia Tech Research Institute"},{"id":"193652","name":"Matter and Systems"},{"id":"39521","name":"Robotics"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ECatherine Barzler, Senior Research Writer\/Editor\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:catherine.barzler@gatech.edu\u0022\u003Ecatherine.barzler@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["catherine.barzler@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"689263":{"#nid":"689263","#data":{"type":"news","title":"Transformer Explainer Shows How AI is More Math than Human","body":[{"value":"\u003Cp\u003EWhile people use search engines, chatbots, and generative artificial intelligence tools every day, most don\u2019t know how they work. This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/transformer-explainer\/\u0022\u003ETransformer Explainer\u003C\/a\u003E is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.\u003C\/p\u003E\u003Cp\u003EGlobal interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/chi2026.acm.org\/\u0022\u003ECHI 2026\u003C\/a\u003E). CHI, the world\u2019s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.\u003C\/p\u003E\u003Cp\u003E\u201cThere are moments when LLMs can seem almost like a person with their own will and personality, and that misperception has real consequences. For example, there have been cases where teenagers have made poor decisions based on conversations with LLMs,\u201d said Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/aereeeee.github.io\/\u0022\u003EAeree Cho\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003E\u201cUnderstanding that an LLM is fundamentally a model that predicts the probability distribution of the next token helps users avoid taking its outputs as absolute. What you put in shapes what comes out, and that understanding helps people engage with AI more carefully and critically.\u201d\u003C\/p\u003E\u003Cp\u003EA transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are forms of processed data, which is why transformers are common in generative AI models. They do this by learning context and tracking mathematical relationships between sequence components.\u003C\/p\u003E\u003Cp\u003ETransformer Explainer demystifies how transformers work. The platform uses visualization and interaction to show, step by step, how text flows through a model and produces predictions.\u003C\/p\u003E\u003Cp\u003EUsing this approach, Transformer Explainer impacts the AI landscape in four main ways:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EIt counters hype and misconceptions surrounding AI by showing how transformers work.\u003C\/li\u003E\u003Cli\u003EIt improves AI literacy among users by removing technical barriers and lowering the entry for learning about AI.\u003C\/li\u003E\u003Cli\u003EIt expands AI education by helping instructors teach AI mechanisms without extensive setup or computing resources.\u003C\/li\u003E\u003Cli\u003EIt influences future development of AI tools and educational techniques by providing a blueprint for interpretable AI systems.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cWhen I first learned about transformers, I felt overwhelmed. A transformer model has many parts, each with its own complex math. Existing resources typically present all this information at once, making it difficult to see how everything fits together,\u201d said\u0026nbsp;\u003Ca href=\u0022https:\/\/gracekimcy.github.io\/\u0022\u003EGrace Kim\u003C\/a\u003E, a dual B.S.\/M.S. computer science student.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cBy leveraging interactive visualization, we use levels of abstraction to first show the big picture of the entire model. Then users click into individual parts to reveal the underlying details and math. This way, Transformer Explainer makes learning far less intimidating.\u201d\u003C\/p\u003E\u003Cp\u003EMany users don\u2019t know what transformers are or how they work. The Georgia Tech team found that people often misunderstand AI. Some label AI with human-like characteristics, such as creativity. Others even describe it as working like magic.\u003C\/p\u003E\u003Cp\u003EFurthermore, barriers make it hard for students interested in transformers to start learning. Tutorials tend to be too technical and overwhelm beginners with math and code. While visualization tools exist, these often target more advanced AI experts.\u003C\/p\u003E\u003Cp\u003ETransformer Explainer overcomes these obstacles through its interactive, user-focused platform. It runs a familiar GPT model directly in any web browser, requiring no installation or special hardware.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EUsers can enter their own text and watch the model predict the next word in real time. Sankey-style diagrams show how information moves through embeddings, attention heads, and transformer blocks.\u003C\/p\u003E\u003Cp\u003EThe platform also lets users switch between high-level concepts and detailed math. By adjusting temperature settings, users can see how randomness affects predictions. This reveals how probabilities drive AI outputs, rather than creativity.\u003C\/p\u003E\u003Cp\u003E\u201cMillions of people around the world interact with transformer-driven AI. We believe that it is crucial to bridge the gap between day-to-day user experience and the models\u0027 technical reality, ensuring these tools are not misinterpreted as human-like or seen as sentient,\u201d said Ph.D. student\u0026nbsp;\u003Ca href=\u0022https:\/\/www.alexkarpekov.com\/\u0022\u003EAlex Karpekov\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cExplaining the architecture helps users recognize that language generated by models is a product of computation, leading to a more grounded engagement with the technology.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECho, Karpekov, and Kim led the development of Transformer Explainer. Ph.D. students\u0026nbsp;\u003Ca href=\u0022https:\/\/alechelbling.com\/\u0022\u003EAlex Helbling\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/seongmin.xyz\/\u0022\u003ESeongmin Lee\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/bhoov.com\/\u0022\u003EBen Hoover\u003C\/a\u003E, and alumnus\u0026nbsp;\u003Ca href=\u0022https:\/\/zijie.wang\/\u0022\u003EZijie (Jay) Wang\u003C\/a\u003E assisted on the project.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EProfessor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003EPolo Chau\u003C\/a\u003E supervised the group and their work. His lab focuses on data science, human-centered AI, and visualization for social good.\u003C\/p\u003E\u003Cp\u003EAcceptance at CHI 2026 stems from the team winning the best poster award at the 2024 IEEE Visualization Conference. This recognition from one of the top venues in visualization research highlights Transformer Explainer\u2019s effectiveness in teaching how transformers work.\u003C\/p\u003E\u003Cp\u003E\u201cTransformer Explainer has reached over half a million learners worldwide,\u201d said Chau, a faculty member in the School of Computational Science and Engineering.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI\u0027m thrilled to see it extend Georgia Tech\u0027s mission of expanding access to higher education, now to anyone with a web browser.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EWhile people use search engines, chatbots, and generative artificial intelligence tools every day, most don\u2019t know how they work. This sets unrealistic expectations for AI and leads to misuse. It also slows progress toward building new AI applications.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/poloclub.github.io\/transformer-explainer\/\u0022\u003ETransformer Explainer\u003C\/a\u003E is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.\u003C\/p\u003E\u003Cp\u003EGlobal interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (\u003Ca href=\u0022https:\/\/chi2026.acm.org\/\u0022\u003ECHI 2026\u003C\/a\u003E). CHI, the world\u2019s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language, improving AI literacy."}],"uid":"36319","created_gmt":"2026-03-31 16:42:57","changed_gmt":"2026-04-02 13:48:23","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-31T00:00:00-04:00","iso_date":"2026-03-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679798":{"id":"679798","type":"image","title":"Transformer-Explainer-Head-Image.jpg","body":null,"created":"1774975392","gmt_created":"2026-03-31 16:43:12","changed":"1774975392","gmt_changed":"2026-03-31 16:43:12","alt":"CHI 2026 Transformer Explainer","file":{"fid":"264002","name":"Transformer-Explainer-Head-Image.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg","mime":"image\/jpeg","size":120484,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/Transformer-Explainer-Head-Image.jpg?itok=eryBAi-R"}},"679799":{"id":"679799","type":"image","title":"Transformer-Explainer-Text-Image.jpg","body":null,"created":"1774975428","gmt_created":"2026-03-31 16:43:48","changed":"1774975428","gmt_changed":"2026-03-31 16:43:48","alt":"CHI 2026 Transformer Explainer","file":{"fid":"264003","name":"Transformer-Explainer-Text-Image.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg","mime":"image\/jpeg","size":69012,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/Transformer-Explainer-Text-Image.jpg?itok=0B-WDInX"}}},"media_ids":["679798","679799"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/transformer-explainer-shows-how-ai-more-math-human","title":"Transformer Explainer Shows How AI is More Math than Human"}],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"130","name":"Alumni"},{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"},{"id":"134","name":"Student and Faculty"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"170447","name":"Institute for Data Engineering and Science"},{"id":"176858","name":"machine learning center"},{"id":"9167","name":"machine learning"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"14646","name":"human-computer interaction"},{"id":"192863","name":"go-ai"},{"id":"194384","name":"Tech AI"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689321":{"#nid":"689321","#data":{"type":"news","title":"The Future of AI\u2011Powered Manufacturing","body":[{"value":"\u003Cp\u003EManufacturing is undergoing a significant transformation as artificial intelligence reshapes how industrial systems operate, adapt, and scale. The \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/\u0022\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/a\u003E (ISyE) has launched its \u003Cstrong\u003EManufacturing and AI Initiative\u003C\/strong\u003E, which brings together faculty expertise in statistics, optimization, data science, and systems engineering to address emerging challenges and opportunities in modern manufacturing.\u003C\/p\u003E\u003Cp\u003EISyE researchers are applying AI to complex manufacturing environments, including multistage production systems, asset management, quality improvement, and human\u2011centered manufacturing. Faculty leaders emphasize the importance of contextualizing large volumes of manufacturing data so AI can support reliable decision\u2011making, efficient operations, and sustainable outcomes. At the same time, the initiative acknowledges challenges such as data integration, system complexity, and the need to balance automation with human involvement. Together, these efforts position ISyE at the forefront of shaping AI\u2011powered manufacturing systems that are innovative, resilient, and socially responsible.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003ERead the full article in \u003C\/strong\u003E\u003C\/em\u003E\u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/magazine\/2026\/spring\/future-ai-powered-manufacturing\u0022\u003E\u003Cem\u003E\u003Cstrong\u003EISyE Magazine\u0026nbsp;\u003C\/strong\u003E\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EISyE is launching its Manufacturing and AI Initiative to unite pioneering researchers with interdisciplinary partners in the development of research and education programs that address issues of industrial, societal, and global concern.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"ISyE is advancing the next generation of manufacturing through AI\u2011driven research that integrates data analytics, optimization, and human\u2011centered systems to create smarter, more resilient industrial ecosystems. "}],"uid":"36736","created_gmt":"2026-04-01 14:59:16","changed_gmt":"2026-04-01 15:10:11","author":"ebrown386","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-04-01T00:00:00-04:00","iso_date":"2026-04-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679812":{"id":"679812","type":"image","title":"The Future of AI-Powered Manufacturing.jpg","body":null,"created":"1775055564","gmt_created":"2026-04-01 14:59:24","changed":"1775055564","gmt_changed":"2026-04-01 14:59:24","alt":"The Future of AI-Powered Manufacturing","file":{"fid":"264016","name":"IMG_0592.jpg","image_path":"\/sites\/default\/files\/2026\/04\/01\/IMG_0592.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/04\/01\/IMG_0592.jpg","mime":"image\/jpeg","size":2937547,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/04\/01\/IMG_0592.jpg?itok=azK3lZM3"}}},"media_ids":["679812"],"groups":[{"id":"1188","name":"Research Horizons"},{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[{"id":"145","name":"Engineering"},{"id":"194685","name":"Manufacturing"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39461","name":"Manufacturing, Trade, and Logistics"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAnnette Filliat, ISyE Communications Writer\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"689271":{"#nid":"689271","#data":{"type":"news","title":"Atlanta Opera NOW Festival Returns June","body":[{"value":"\u003Cp\u003ETickets are now on sale for The Atlanta Opera\u2019s NOW Festival, returning June 12\u201314, 2026. Celebrating its fifth year, the festival highlights bold, contemporary storytelling and emerging voices in opera through new works and performances.\u003C\/p\u003E\u003Cp\u003EThis year\u2019s festival features the world premiere of\u003Ca href=\u0022https:\/\/arts.gatech.edu\/event\/atlanta-opera-and-gt-arts-presents-water-memory-0\u0022\u003E \u003Cem\u003EWater Memory\u003C\/em\u003E\u003C\/a\u003E\u003Cem\u003E (Jala Smirti)\u003C\/em\u003E, a chamber opera exploring how artificial intelligence can support individuals living with dementia and provide assistance for aging parents. The festival also includes the 96-Hour Opera Project, a signature competition showcasing newly created opera scenes by emerging artists.\u003C\/p\u003E\u003Cp\u003EEvents will take place across multiple Atlanta venues, including the Ferst Center for the Arts at Georgia Tech and the Ray Charles Performing Arts Center at Morehouse College. Performances include the premiere of \u003Cem\u003EWater Memory\u003C\/em\u003E on June 12, the competition showcase on June 13, and an encore performance on June 14.\u003C\/p\u003E\u003Cp\u003ETickets start at $35, with festival passes available for $50. The NOW Festival continues to foster innovation in opera while mentoring the next generation of artists.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"Festival features AI-themed world premiere and opera competition"}],"field_summary":[{"value":"\u003Cp\u003EThe Atlanta Opera\u2019s NOW Festival returns June 12\u201314, 2026, showcasing contemporary opera through a world premiere and a national competition. The festival highlights innovative storytelling and supports emerging artists in the field.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Tickets are now on sale for The Atlanta Opera\u2019s NOW Festival, highlighting new works and emerging voices in opera."}],"uid":"36800","created_gmt":"2026-03-31 17:41:57","changed_gmt":"2026-03-31 20:04:14","author":"gmenghisteab6","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-24T00:00:00-04:00","iso_date":"2026-03-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679803":{"id":"679803","type":"image","title":"NOWFestival_LogoHiRes_FINAL.jpg","body":null,"created":"1774978941","gmt_created":"2026-03-31 17:42:21","changed":"1774978941","gmt_changed":"2026-03-31 17:42:21","alt":"NOWFestival","file":{"fid":"264007","name":"NOWFestival_LogoHiRes_FINAL.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/NOWFestival_LogoHiRes_FINAL.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/NOWFestival_LogoHiRes_FINAL.jpg","mime":"image\/jpeg","size":191254,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/NOWFestival_LogoHiRes_FINAL.jpg?itok=w27fL22S"}}},"media_ids":["679803"],"groups":[{"id":"660380","name":"GT Arts"}],"categories":[{"id":"194568","name":"Arts and Performance"}],"keywords":[{"id":"183499","name":"georgia tech arts"},{"id":"185855","name":"GT arts"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689256":{"#nid":"689256","#data":{"type":"news","title":"New Study Shows Explainability is a Must for Older Adults to Trust AI","body":[{"value":"\u003Cp\u003EVoice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or older adults aren\u2019t likely to trust them.\u003C\/p\u003E\u003Cp\u003EThat\u2019s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/ai-caring.org\/\u0022\u003E\u003Cstrong\u003EAI Caring\u003C\/strong\u003E\u003C\/a\u003E is one of three AI Institutions led by Georgia Tech and funded by the National Science Foundation (NSF). The institution supports AI research that benefits older adults and their caregivers.\u003C\/p\u003E\u003Cp\u003ENiharika Mathur, a Ph.D. candidate in the School of Interactive Computing, was the lead author of a paper based on the study. The paper will be presented in April at the \u003Ca href=\u0022https:\/\/chi2026.acm.org\/\u0022\u003E\u003Cstrong\u003E2026 ACM Conference on Human Factors in Computing Systems (CHI) in Barcelona\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EMathur worked with the \u003Ca href=\u0022https:\/\/empowerment.emory.edu\/\u0022\u003E\u003Cstrong\u003ECognitive Empowerment Program at Emory University\u003C\/strong\u003E\u003C\/a\u003E to interview 23 older adults who live alone and use voice-activated AI assistants like Amazon\u2019s Alexa and Google Home.\u003C\/p\u003E\u003Cp\u003EMany of them told her they feel excluded from the design of these products.\u003C\/p\u003E\u003Cp\u003E\u201cThe assumption is that all people want interactions the same way and across all kinds of situations, but that isn\u2019t true,\u201d Mathur said. \u201cHow older people use AI and what they want from it are different from what younger people prefer.\u201d\u003C\/p\u003E\u003Cp\u003EOne example she gave is that young people tend to be informal when talking with AI. Older people, on the other hand, talk to the agent like they would a person.\u003C\/p\u003E\u003Cp\u003E\u201cIf Older adults are talking to their family members about Alexa, they usually refer to Alexa as \u2018she\u2019 instead of \u2018it,\u2019\u201d Mathur said. \u201cThey tend to humanize these systems a lot more than young people.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EGood Explanations\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EThe study evaluated AI explanations that drew information from four sources of data:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EUser history (past conversations with the agent)\u003C\/li\u003E\u003Cli\u003EEnvironmental data (indoor temperature or the weather forecast)\u003C\/li\u003E\u003Cli\u003EActivity data (how much time a user spends in different areas of the home)\u003C\/li\u003E\u003Cli\u003EInternal reasoning (mathematical probabilities and likely outcomes)\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EMathur said older users trust the agent more when it bases its explanations on data from the first three sources. However, internal reasoning creates skepticism.\u003C\/p\u003E\u003Cp\u003EInternal reasoning means the AI doesn\u2019t have enough data from the other sources to give an explanation. It provides a percentage to reflect its confidence based on what it knows.\u003C\/p\u003E\u003Cp\u003E\u201cThe overwhelming response was negative toward confidence scores,\u201d Mathur said. \u201cIf the AI says it\u2019s 92% confident, older adults want to know what that\u2019s based on.\u201d\u003C\/p\u003E\u003Cp\u003EThis is another example that Mathur said points to generational preferences.\u003C\/p\u003E\u003Cp\u003E\u201cThere\u2019s a lot of explainable AI research that shows younger people like to see numbers in explanations, and they also tend to rely too much on explanations that contain numerical confidence. Older adults are the opposite. It makes them trust it less.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EKnowing the Context\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EMathur said that AI agents interacting with older adults should serve a dual purpose. They should provide users with companionship and support independence while reducing the caretaking burden often placed on family members.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESome studies have shown that engineers have tended to favor caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are merely a box to be checked.\u003C\/p\u003E\u003Cp\u003EShe discovered that in urgent situations, older users prefer the AI to be straightforward, while in casual settings, they desire more conversation.\u003C\/p\u003E\u003Cp\u003E\u201cHow people interact with technological systems is grounded in what the stakes of the situation are,\u201d she said. \u201cIf it had anything to do with their immediate sense of safety, they did not want conversational elaboration. They want the AI to be very direct and factual.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003ENot Just Checking Boxes\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EMathur said AI agents that interact with older adults are ideally constructed with a dual purpose. They should provide companionship and autonomy for the users while alleviating the burden of caretaking that is often placed on their family members.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESome studies have shown that engineers have strayed toward favoring caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are a box to be checked.\u003C\/p\u003E\u003Cp\u003E\u201cThey\u2019re not being thought of as consumers,\u201d Mathur said. \u201cA lot of products are being made for them but not with them.\u201d\u003C\/p\u003E\u003Cp\u003EShe also said psychological well-being is one of the most important outcomes these tools should produce.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EShowing older adults that they are listened to can significantly help in gaining their trust. Some interviewees told Mathur they want agents who are deliberate about understanding their preferences and don\u2019t dismiss their questions.\u003C\/p\u003E\u003Cp\u003EMeeting these needs reduces the likelihood of protesting and creating conflict with family members.\u003C\/p\u003E\u003Cp\u003E\u201cIt highlights just how important well-designed explanations are,\u201d she said. \u201cWe must go beyond a transparency checklist.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAn AI Caring study led by Georgia Tech researchers shows that older adults are more likely to trust conversational AI systems that provide them with clear explanations for their decision-making. The study also shows that including older adults more in the design process benefits their well-being and reduces the caretaking burden of family members\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Georgia Tech study finds older adults are more likely to trust voice-activated AI systems when those systems clearly explain how and why they make decisions."}],"uid":"36530","created_gmt":"2026-03-31 14:01:07","changed_gmt":"2026-03-31 14:04:59","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-31T00:00:00-04:00","iso_date":"2026-03-31T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679796":{"id":"679796","type":"image","title":"0A6A0355.jpg","body":null,"created":"1774965687","gmt_created":"2026-03-31 14:01:27","changed":"1774965687","gmt_changed":"2026-03-31 14:01:27","alt":"An older couple sitting on a couch as a man helps them use Amazon\u0027s Alexa","file":{"fid":"263999","name":"0A6A0355.jpg","image_path":"\/sites\/default\/files\/2026\/03\/31\/0A6A0355.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/31\/0A6A0355.jpg","mime":"image\/jpeg","size":171883,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/31\/0A6A0355.jpg?itok=t62aVqXD"}}},"media_ids":["679796"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"192863","name":"go-ai"},{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"193860","name":"Artifical Intelligence"},{"id":"187812","name":"artificial intelligence (AI)"},{"id":"14342","name":"older adults"},{"id":"148721","name":"Amazon Alexa"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"689154":{"#nid":"689154","#data":{"type":"news","title":"Researchers Create First AI for Generative Polymer Design","body":[{"value":"\u003Cp\u003EThe words on this page mean something because they are assembled in a particular order and follow the complex rules of grammar and syntax. Creating new chemical polymers follows a similar kind of structure, with rules about what elements and groups of atoms go together and how to assemble them to make sense.\u003C\/p\u003E\u003Cp\u003EThinking about polymers in that way has led Georgia Tech materials scientists to create new generative artificial intelligence tools that are like Claude or ChatGPT for new materials.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThese are the first foundational models for generative polymer design that have also been validated through physical experiments: users specify the properties they need in a polymer and the model will suggest a chemical structure.\u003C\/p\u003E\u003Cp\u003ELed by Regents\u2019 Entrepreneur \u003Ca href=\u0022https:\/\/mse.gatech.edu\/people\/rampi-ramprasad\u0022\u003ERampi Ramprasad\u003C\/a\u003E, the researchers \u003Ca href=\u0022https:\/\/doi.org\/10.1038\/s44387-026-00087-1\u0022\u003Edescribed their latest model this month in the Nature journal \u003Cem\u003Enpj Artificial Intelligence\u003C\/em\u003E\u003C\/a\u003E \u2014 including a test material they created and validated in the lab to prove the models work.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/coe.gatech.edu\/news\/2026\/03\/researchers-create-first-ai-generative-polymer-design\u0022\u003E\u003Cstrong\u003ERead the full story on the College of Engineering website.\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBy training a model on the allowed \u201cwords\u201d and \u201cgrammar\u201d of chemistry, Georgia Tech materials scientists can design polymers based on the properties users need.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"By training a model on the allowed \u201cwords\u201d and \u201cgrammar\u201d of chemistry, Georgia Tech materials scientists can design polymers based on the properties users need."}],"uid":"27446","created_gmt":"2026-03-24 16:32:52","changed_gmt":"2026-03-24 16:35:38","author":"Joshua Stewart","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-24T00:00:00-04:00","iso_date":"2026-03-24T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679723":{"id":"679723","type":"image","title":"polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg","body":"\u003Cp\u003EResearchers have created a chemical language AI model to generate new polymer structures based on the properties those polymers need to exhibit. Led by Rampi Ramprasad, standing, the team included postdoctoral scholar Wei Xiong, Ph.D. student Anagha Savit, and research scientist Harikrishna Sahu, who are seated left to right. (Photo: Candler Hobbs)\u003C\/p\u003E","created":"1774369988","gmt_created":"2026-03-24 16:33:08","changed":"1774374861","gmt_changed":"2026-03-24 17:54:21","alt":"Rampi Ramprasad and three members of his research team discuss their AI model for generative polymer design in his office.","file":{"fid":"263918","name":"polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg","image_path":"\/sites\/default\/files\/2026\/03\/24\/polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/24\/polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg","mime":"image\/jpeg","size":960941,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/24\/polymer-generative-AI-Rampi-Ramprasad-6206-t_0.jpg?itok=LpeWtDrh"}}},"media_ids":["679723"],"groups":[{"id":"1237","name":"College of Engineering"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"193176","name":"Rampi Ramprasad"},{"id":"187915","name":"go-researchnews"},{"id":"187023","name":"go-data"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jstewart@gatech.edu\u0022\u003EJoshua Stewart\u003C\/a\u003E\u003Cbr\u003ECollege of Engineering\u003C\/p\u003E","format":"limited_html"}],"email":["jstewart@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"688801":{"#nid":"688801","#data":{"type":"news","title":"Georgia Tech Energy Day: Meeting AI\u2019s Growing Energy Demands","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\u0022\u003EEnergy Day\u003C\/a\u003E returns this year on March 19 with an expanded focus and a new collaborative momentum. Cohosted by the Georgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/matter-systems.gatech.edu\/\u0022\u003EInstitute for Matter and\u0026nbsp;Systems\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;(IMS) and the \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.research.gatech.edu\/energy\u0022\u003EStrategic Energy Institute\u003C\/a\u003E,\u003Cstrong\u003E\u0026nbsp;(SEI) \u003C\/strong\u003Ewith plenary session support from the\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/epicenter.energy.gatech.edu\/\u0022\u003EEnergy Policy and Innovation Center\u003C\/a\u003E, Energy Day 2026 convenes leaders from academia, industry, government, and students to address the challenges associated with meeting the rapidly growing electricity demand driven by artificial intelligence (AI) and high-performance computing.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESet in the heart of Tech Square on the Georgia Tech campus, this year\u2019s event explores how energy systems, materials, technologies, supply chains, and policy must evolve in response to AI\u2019s accelerating impact. As digital infrastructure expands and computation intensifies, the need for reliable, resilient, and sustainable power has never been more urgent.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cEnergy Day reflects Georgia Tech\u2019s strength in connecting world-class research in materials and components with the infrastructure and partnerships needed to translate discovery into scalable energy technologies that serve industry, society, and the future economy,\u201d said \u003Ca href=\u0022https:\/\/matter-systems.gatech.edu\/people\/eric-vogel\u0022\u003EEric Vogel\u003C\/a\u003E, executive director of the IMS and the Hightower Professor in Materials Science and Engineering.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EEnergy Day 2026 also marks an important milestone with the introduction of its first group of corporate sponsors:\u0026nbsp;\u003Ca href=\u0022https:\/\/www.gevernova.com\/\u0022\u003EGE Vernova\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.southerncompany.com\/\u0022\u003ESouthern Company\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.georgiapower.com\/\u0022\u003EGeorgia Power\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/corporate.exxonmobil.com\/\u0022\u003EExxonMobil\u003C\/a\u003E\u003Cstrong\u003E,\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/southwirespark.com\/\u0022\u003ESouthwire Spark\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.linkedin.com\/company\/gems-setra\/\u0022\u003EGems Setra\u003C\/a\u003E\u003Cstrong\u003E, \u003C\/strong\u003Eand\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.tek.com\/en\u0022\u003ETektronix\u003C\/a\u003E. Their support reflects a shared commitment to advancing energy solutions.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cTektronix is excited to be part of Energy Day because advancing the future of energy starts with precise measurement and trusted insights,\u201d said Christopher Bohn, president of Tektronix. \u201cFrom power electronics and high voltage systems to grid scale renewables and AI driven control technologies, the breakthroughs discussed here directly align with the innovations we support through our products and solutions. Collaborating with Georgia Tech allows us to engage early with emerging research and the next generation of engineers\u2014critical collaborators in building a cleaner, smarter, and more resilient energy ecosystem.\u201d\u003C\/p\u003E\u003Cp\u003EThe keynote address will be delivered by\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/vanessazchan\/\u0022\u003EVanessa Z. Chan\u003C\/a\u003E, a nationally recognized leader at the intersection of\u0026nbsp;innovation, commercialization, and emerging technologies. Chan will provide insights on accelerating technological discovery, emphasizing how AI is transforming energy and materials design. She will discuss how commercialization strategies must rapidly evolve across multidisciplinary energy domains from grid modernization to advanced batteries and clean manufacturing.\u003C\/p\u003E\u003Cp\u003EBuilding on the themes introduced in the keynote, the program transitions into a fireside chat with Georgia Tech EVPR\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/leadership\u0022\u003ETim Lieuwen\u003C\/a\u003E featuring\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/kulkarniam\/\u0022\u003EAmit Kulkarni\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/james-jim-walsh\/\u0022\u003EJim Walsh\u003C\/a\u003E. Kulkarni is vice president of Product Management and Strategy for the Gas Power business within GE Vernova, where he oversees the world\u2019s largest portfolio of power generation equipment. Walsh, vice president of GE Vernova\u2019s Consulting Services, leads teams providing innovative solutions across the full spectrum of power generation, delivery, and utilization.\u003C\/p\u003E\u003Cp\u003ENext comes a policy-focused panel that will explore the surge in power demand driven by AI, how the United States is addressing today\u2019s most urgent energy challenges, and the long-term implications of today\u2019s decisions for a sustainable energy future. Bringing together leading voices in U.S. environmental and energy policy, the panel features\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/joseph-aldy-0794942\/\u0022\u003EJoe Aldy\u003C\/a\u003E of Harvard University and former special assistant to the president for Energy and Environment;\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/al-mcgartland-161689a\/\u0022\u003EAl McGartland\u003C\/a\u003E of New York University\u2019s Institute for Policy Integrity and former Environmental Protection Agency lead economist and director of the National Center for Environmental Economics; and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/kevinrennert\/\u0022\u003EKevin Rennert\u003C\/a\u003E, fellow and director of the Comprehensive Climate Strategies Program at Resources for the Future and former staff member on the U.S. Senate Committee on Energy and Natural Resources.\u003C\/p\u003E\u003Cp\u003EThe second panel focuses on critical materials \u2014 the foundation of advanced energy systems and digital technologies. As AI, data centers, and advanced energy technologies drive demand for critical materials, securing them now requires integration and coordination across the entire value chain. Panelists include \u003Ca href=\u0022https:\/\/www.gov.uk\/government\/people\/rachel-galloway\u0022 id=\u0022menur1su2\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/www.gov.uk\/government\/people\/rachel-galloway\u0022\u003ERachel Galloway\u003C\/a\u003E,\u0026nbsp;British consul general in Atlanta;\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/vijaymurugesan\/\u0022\u003EVijay Murugesan\u003C\/a\u003E, head of Materials Intelligence and Digital Innovation at Amazon; \u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/colinspellmeyer\/?utm_source=share_via\u0026amp;utm_content=profile\u0026amp;utm_medium=member_ios\u0022 title=\u0022https:\/\/www.linkedin.com\/in\/colinspellmeyer\/?utm_source=share_via\u0026amp;utm_content=profile\u0026amp;utm_medium=member_ios\u0022\u003EColin Spellmeyer\u003C\/a\u003E,\u0026nbsp;executive strategic sourcing leader at GE Vernova; \u0026nbsp;\u003Ca href=\u0022https:\/\/haslam.utk.edu\/people\/profile\/charles-sims\/\u0022\u003ECharles Sims\u003C\/a\u003E, Tennessee Valley Authority Distinguished Professor of Energy and Environmental Policy at the University of Tennessee; and\u0026nbsp;\u003Ca href=\u0022https:\/\/www.linkedin.com\/in\/nnnyeboah\/\u0022 id=\u0022menur1sua\u0022 rel=\u0022noreferrer noopener\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/www.linkedin.com\/in\/nnnyeboah\/\u0022\u003ENortey Yeboah\u003C\/a\u003E, principal engineer at Southern Company. Together, they will offer perspectives on the policy and economic frameworks shaping the energy supply chain, from developing raw resources to manufacturing the technologies essential to future energy systems.\u003C\/p\u003E\u003Cp\u003EIn the afternoon, participants can dive deeper into specialized topics through three focused technical tracks.\u0026nbsp;\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E\u201c\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\/track1_meet_demand_for_power\u0022\u003EMeeting the Demand for Power\u003C\/a\u003E\u201d will examine how emerging technologies, advanced nuclear systems, and renewable integration can work together to deliver reliable, resilient electricity.\u003C\/li\u003E\u003Cli\u003E\u201c\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\/track2-data-center-infrastructure-and-resources\u0022\u003EData Center Infrastructure and Resources\u003C\/a\u003E\u201d will explore innovations in thermal management technologies, energy-efficient computing, and the broader resource impacts of expanding digital infrastructure.\u003C\/li\u003E\u003Cli\u003E\u201c\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\/track3-grid-technologies-and-markets\u0022\u003EGrid Technologies and Markets\u003C\/a\u003E\u201d will highlight strategies for strengthening grid capacity, incorporating demand-side management, and optimizing carbon performance as energy systems evolve.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cMeeting the rapidly rising electricity demand driven by AI requires bold ideas, coordinated action, and research that moves at the speed of innovation,\u201d said \u003Ca href=\u0022https:\/\/energy.gatech.edu\/people\/yuanzhi-tang\u0022\u003EYuanzhi Tang\u003C\/a\u003E, executive director of the SEI. \u201cEnergy Day 2026 brings together the people and expertise needed to shape resilient, sustainable energy systems for the future. At Georgia Tech, we see this event as a catalyst for new partnerships, new solutions, and a shared commitment to strengthening the nation\u2019s energy foundation.\u201d\u003C\/p\u003E\u003Cp\u003EEnergy Day 2026 is designed for researchers advancing emerging energy technologies, policymakers navigating shifting regulatory and geopolitical landscapes, industry professionals seeking insight into emerging tools and supply chains, and students preparing to enter one of the most consequential sectors of the decade. It also welcomes anyone interested in AI, sustainability, electrification, and critical materials.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EJoin us to explore the future of energy. To learn more and register, visit:\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\u0022 target=\u0022_new\u0022\u003EEnergy Day 2026\u003C\/a\u003E.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/energyday\u0022\u003EEnergy Day\u003C\/a\u003E returns this year on March 19 with an expanded focus and a new collaborative momentum. Cohosted by the Georgia Tech\u0026nbsp;\u003Ca href=\u0022https:\/\/matter-systems.gatech.edu\/\u0022\u003EInstitute for Matter and\u0026nbsp;Systems\u003C\/a\u003E\u003Cstrong\u003E\u0026nbsp;(IMS) and the \u003C\/strong\u003E\u003Ca href=\u0022https:\/\/www.research.gatech.edu\/energy\u0022\u003EStrategic Energy Institute\u003C\/a\u003E,\u003Cstrong\u003E\u0026nbsp;(SEI) with plenary session support from the\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/epicenter.energy.gatech.edu\/\u0022\u003EEnergy Policy and Innovation Center\u003C\/a\u003E, Energy Day 2026 convenes leaders from academia, industry, government, and students to address the challenges associated with meeting the rapidly growing electricity demand driven by artificial intelligence (AI) and high-performance computing.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Join us on March 19 as we explore one of the most urgent questions facing the nation: How do we power an AI\u2011driven future?"}],"uid":"36413","created_gmt":"2026-03-06 20:46:52","changed_gmt":"2026-03-20 16:57:12","author":"pdevarajan3","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-06T00:00:00-05:00","iso_date":"2026-03-06T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679541":{"id":"679541","type":"image","title":"EnergyDayEmailHeader.jpg","body":null,"created":"1772830025","gmt_created":"2026-03-06 20:47:05","changed":"1772830025","gmt_changed":"2026-03-06 20:47:05","alt":"Georgia Tech Energy Day 2026 Header Image with three boxes showing an image of a datacenter, an electric bulb with energy sources around it and a multi-colored critical mineral ","file":{"fid":"263714","name":"EnergyDayEmailHeader.jpg","image_path":"\/sites\/default\/files\/2026\/03\/06\/EnergyDayEmailHeader.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/06\/EnergyDayEmailHeader.jpg","mime":"image\/jpeg","size":147447,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/06\/EnergyDayEmailHeader.jpg?itok=i6baP0eA"}}},"media_ids":["679541"],"groups":[{"id":"1188","name":"Research Horizons"},{"id":"1280","name":"Strategic Energy Institute"}],"categories":[{"id":"194607","name":"Batteries"},{"id":"131","name":"Economic Development and Policy"},{"id":"144","name":"Energy"},{"id":"135","name":"Research"},{"id":"133","name":"Special Events and Guest Speakers"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"186858","name":"go-sei"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39471","name":"Materials"},{"id":"193652","name":"Matter and Systems"},{"id":"39481","name":"National Security"},{"id":"39491","name":"Renewable Bioproducts"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:priya.devarajan@research.gatech.edu\u0022\u003EPriya Devarajan\u003C\/a\u003E | Communications Program Manager\u003C\/p\u003E","format":"limited_html"}],"email":["priya.devarajan@research.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"689012":{"#nid":"689012","#data":{"type":"news","title":"Cohort of Computing Students Named Squarepoint Foundation Scholars","body":[{"value":"\u003Cp\u003EFive Georgia Tech computer science (CS) students have been named Squarepoint Foundation Scholars, receiving merit- and need-based scholarships for their undergraduate studies. The Squarepoint Foundation is providing $100,000 to fund the awards, which offer $10,000 per year for two years to rising third-year students.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENow in its second year of supporting the College of Computing, the Squarepoint Foundation continues to expand opportunities, enabling students to focus fully on their studies and pursue activities outside the classroom. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA selection committee led by \u003Cstrong\u003EMary Hudachek-Buswell\u003C\/strong\u003E, interim chair of the School of Computing Instruction (SCI), chose this year\u2019s cohort.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThese students exemplify the curiosity, talent, and determination we strive to cultivate in computer science,\u201d Hudachek-Buswell said. \u201cThe Squarepoint Foundation Scholarships will give them the opportunity to focus fully on their studies while pursuing research and projects that have the potential to make a real-world impact.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe scholars have demonstrated strong leadership across campus, with all five serving as teaching assistants (TAs) and earning faculty honors. The cohort is also engaged in\u0026nbsp;research and study abroad opportunities.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFounded in 2021, the Squarepoint Foundation supports STEM education and research while partnering with organizations worldwide to expand opportunity and access.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe are proud to continue our partnership with Georgia Tech, as we extend our support to a number of students working towards achieving their academic goals,\u201d said \u003Cstrong\u003EAllison Henry\u003C\/strong\u003E, Squarepoint Foundation manager.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe Squarepoint Foundation aims to increase access to education, ensuring that all individuals have the opportunity to pursue the degree of their choice, no matter their circumstances. We wish these talented students the best of luck as they undertake their studies and recognize them for their hard work and dedication to the STEM field.\u0022\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeet the Scholars\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMaria Cymbalyuk\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECymbalyuk studies \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/threads-better-way-learn-computing\u0022\u003E\u003Cstrong\u003ECybersecurity and Information Internetwork threads\u003C\/strong\u003E\u003C\/a\u003E, focusing on how technical systems shape who is protected or exposed in digital environments. She\u2019s interested in supporting public defenders and improving access to justice through technology.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThis scholarship made this semester feel less financially stressful and more like I can focus on building the skills and experiences I care about,\u201d Cymbalyuk said. \u201cI want to use my skills to build tools and do research that supports public interest organizations.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMarziah Islam\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cdiv\u003E\u003Cp\u003EIslam concentrates on the People and Intelligence threads, exploring how humans interact with technology. She is developing a sign-language learning mobile app through a \u003Ca href=\u0022https:\/\/vip.gatech.edu\/\u0022\u003E\u003Cstrong\u003EVertically Integrated Project\u003C\/strong\u003E\u003C\/a\u003E and hopes to build accessible, reliable systems in healthcare technology. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am fascinated by the intersection of humans and computing, and I want to design technology that better supports real people,\u201d Islam said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESahadev Bharath\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EBharath studies Architecture and Information Internetworks threads, with interests in low-level programming, operating systems, and large-scale systems. He plans to begin his career in software engineering, focusing on distributed systems and AI infrastructure.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cComing from India, being able to afford out-of-state tuition has been a challenge. This scholarship relieves financial stress and gives me more time to focus on my academics and career,\u201d Bharath said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI am passionate about teaching and sharing my knowledge with fellow students. Being a TA has been extremely fulfilling and motivates me to continue contributing to education.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJoie Yeung\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EYeung studies Information Internetworks and Intelligence threads, with a focus on data and artificial intelligence. She has received the President\u2019s Volunteer Service Award for completing more than 100 service hours in one year. In addition to pursuing a career in software engineering, she is passionate about mentoring younger girls and addressing the gender gap in STEM. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI want to create meaningful and impactful technology while giving back to my communities. I also aim to show younger girls that they can succeed in computing despite the gender gap,\u201d Yeung said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EJun Hong Wang\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWang studies system architecture and intelligence with a minor in mathematics, concentrating on computer architecture and low-level optimization. He is considering careers in software engineering, research, or entrepreneurship at the intersection of hardware and software.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cI\u2019m especially interested in how hardware and software intersect, and I hope to use my work to create solutions that are meaningful and helpful for the world,\u201d Wang said.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe scholarships offer vital support as these students keep advancing research, leadership, and influence in computing.\u0026nbsp;\u003C\/p\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe Squarepoint Foundation is providing $100,000 to fund the awards, which offer $10,000 per year for two years to rising third-year students.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Squarepoint Foundation is providing $100,000 to fund the awards, which offer $10,000 per year for two years to rising third-year students. "}],"uid":"36613","created_gmt":"2026-03-18 16:23:48","changed_gmt":"2026-03-18 17:11:18","author":"Emily Smith","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-18T00:00:00-04:00","iso_date":"2026-03-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679669":{"id":"679669","type":"image","title":"sp2.jpg","body":"\u003Cp\u003EA new cohort of computing students has been named Squarepoint Foundation scholars.\u003C\/p\u003E","created":"1773851158","gmt_created":"2026-03-18 16:25:58","changed":"1773851158","gmt_changed":"2026-03-18 16:25:58","alt":"A new cohort of computing students has been named Squarepoint Foundation scholars.","file":{"fid":"263855","name":"sp2.jpg","image_path":"\/sites\/default\/files\/2026\/03\/18\/sp2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/18\/sp2.jpg","mime":"image\/jpeg","size":2146822,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/18\/sp2.jpg?itok=kj6YWko0"}}},"media_ids":["679669"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"660374","name":"School of Computing Instruction"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"145171","name":"Cybersecurity"},{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:emily.smith@cc.gatech.edu\u0022\u003EEmily Smith\u003C\/a\u003E\u003Cbr\u003ECollege of Computing\u003Cbr\u003EGeorgia Tech\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688899":{"#nid":"688899","#data":{"type":"news","title":"Georgia Tech Renews Memorandum of Understanding With Sandia","body":[{"value":"\u003Cp\u003ESince 2020, Georgia Tech has partnered with Sandia National Laboratories, a federally funded research and development center focused on national security. In February, the two institutions renewed their collaboration with a new Memorandum of Understanding (MOU), reaffirming a relationship that has already strengthened research capabilities on both sides.\u003C\/p\u003E\u003Cp\u003EThe partnership has driven progress in areas ranging from hypersonics to bioscience, while also deepening institutional ties beyond research. Joint faculty appointments \u2014 such as\u0026nbsp;\u003Ca href=\u0022https:\/\/me.gatech.edu\/faculty\/mazumdar\u0022\u003EAnirban Mazumdar\u003C\/a\u003E, who holds roles at both Sandia and the\u0026nbsp;\u003Ca href=\u0022https:\/\/me.gatech.edu\/\u0022\u003EGeorge W. Woodruff School of Mechanical Engineering\u003C\/a\u003E\u0026nbsp;\u2014 demonstrate how closely the organizations work together. The collaboration has also expanded student talent pipelines, providing more avenues for Georgia Tech students to pursue careers at the national lab.\u003C\/p\u003E\u003Cp\u003E\u201cAt its core, this partnership is about people,\u201d said\u0026nbsp;Tim Lieuwen, executive vice president for Research at Georgia Tech.\u0026nbsp;\u201cSandia and Georgia Tech share a commitment to discovery and developing the talent, creativity, and collaboration our nation needs.\u201d\u003C\/p\u003E\u003Cp\u003EThe renewed MOU, he said, \u201cstrengthens connections between our researchers, opens new doors for our students, and builds meaningful career pathways into national service. When our communities work together to address national priorities, we not only accelerate technological advances \u2014 we expand opportunities for the people who will shape the future of our nation\u2019s security.\u201d\u003C\/p\u003E\u003Cp\u003EUnder the new MOU, Sandia and Georgia Tech will focus on integrated research across key national security\u2011aligned areas, including secure artificial intelligence and computing, quantum technologies, critical minerals, advanced manufacturing, energy and grid resilience, and hypersonics.\u0026nbsp;The partnership emphasizes connecting manufacturing, computation, and systems approaches directly to national security applications.\u003C\/p\u003E\u003Cp\u003E\u201cTogether, we have been solving new and unprecedented challenges in science and engineering, and now we have a great opportunity to develop this partnership,\u201d said Dan Sinars, Sandia\u2019s deputy chief research officer. \u201cOur research benefits both national security and national prosperity, and keeps the country at the forefront of the world.\u201d\u003C\/p\u003E\u003Cp\u003EWith this strengthened connection, the partners aim to grow their shared research footprint through increased funding, publications, and faculty-led startups. Over the long term, Georgia Tech intends to become one of Sandia\u2019s top hiring pipelines, ensuring that talent developed through joint research continues into national security careers.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHistory of the Partnership\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThe Institute\u2019s collaboration with Sandia began in the mid\u20112010s, when the labs selected Georgia Tech as one of its partner institutions. The first MOU, signed in 2015, formalized the relationship and outlined initial technical focus areas.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn 2018,\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/george-white\u0022\u003EGeorge White\u003C\/a\u003E, executive director of strategic partnerships, and\u0026nbsp;\u003Ca href=\u0022https:\/\/research.gatech.edu\/olof-westerstahl\u0022\u003EOlof Westerstahl\u003C\/a\u003E, \u0026nbsp;senior director strategic initiatives in the Office of Corporate Engagement, helped expand the partnership. They launched \u201cSandia Day,\u201d an event designed to introduce Georgia Tech faculty to Sandia researchers and spark new collaborations. By 2020, the organizations signed a second MOU that expanded the partnership\u2019s technical focus areas to include energy and grid security, materials and nanotechnology, advanced electronics, advanced manufacturing, advanced computing, cyber and information security, bioscience, hypersonics, quantum information science, and engineering sciences.\u003C\/p\u003E\u003Cp\u003EThe results have been substantial. Since 2018, Sandia has sponsored $35 million in research collaborations with Georgia Tech. Researchers from both institutions have co-authored 450 publications since 2016. Research activity continues to accelerate, with $1.6 million in new contracts in the past year alone. As of August 2025, Sandia employs 325 Georgia Tech alumni \u2014 a testament to the impact of the growing talent pipeline.\u003C\/p\u003E\u003Cp\u003E\u201cWe view our work with Sandia as the model for engagement with other national labs,\u201d said White. \u201cWith the new MOU, we will continue to grow the Sandia partnership. I would like to see our footprint double in scope in the next five years.\u201d\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EThe Sandia partnership will expand research impact, talent pipelines, and national security innovation.\u003C\/strong\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Sandia partnership will expand research impact, talent pipelines, and national security innovation."}],"uid":"34541","created_gmt":"2026-03-12 16:13:11","changed_gmt":"2026-03-12 18:20:44","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-03-12T00:00:00-04:00","iso_date":"2026-03-12T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679602":{"id":"679602","type":"image","title":"Georgia-Tech-Signing-10.jpg","body":"\u003Cp\u003EPhoto by Alicia Bustillos from Sandia National Laboratories\u003C\/p\u003E","created":"1773332018","gmt_created":"2026-03-12 16:13:38","changed":"1773332018","gmt_changed":"2026-03-12 16:13:38","alt":"Group of people at Georgia Tech\/Sandia MOU signing","file":{"fid":"263782","name":"Georgia-Tech-Signing-10.jpg","image_path":"\/sites\/default\/files\/2026\/03\/12\/Georgia-Tech-Signing-10.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/12\/Georgia-Tech-Signing-10.jpg","mime":"image\/jpeg","size":1227985,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/12\/Georgia-Tech-Signing-10.jpg?itok=fTlNkTlI"}}},"media_ids":["679602"],"groups":[{"id":"1214","name":"News Room"},{"id":"1188","name":"Research Horizons"}],"categories":[],"keywords":[{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39441","name":"Bioengineering and Bioscience"},{"id":"145171","name":"Cybersecurity"},{"id":"39451","name":"Electronics and Nanotechnology"},{"id":"39531","name":"Energy and Sustainable Infrastructure"},{"id":"39461","name":"Manufacturing, Trade, and Logistics"},{"id":"193652","name":"Matter and Systems"},{"id":"39481","name":"National Security"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Senior Research Writer\/Editor\u003C\/p\u003E\u003Cp\u003Etess.malone@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"688716":{"#nid":"688716","#data":{"type":"news","title":"New Research Priorities Chart Course Toward Impactful, Energy-Efficient Computing","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers applied their expertise to a national research program that will shape the future of computing. Their work may yield more energy-efficient computers and better predictions for environmental challenges like carbon storage, tsunamis, wildfires, and sustainable energy.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Department of Energy Office of Science recently released two reports through its Advanced Scientific Computing Research (\u003Ca href=\u0022https:\/\/www.energy.gov\/science\/ascr\/advanced-scientific-computing-research\u0022\u003EASCR\u003C\/a\u003E) program. The\u0026nbsp;\u003Ca href=\u0022https:\/\/science.osti.gov\/ascr\/Community-Resources\/Program-Documents\u0022\u003Ereports\u003C\/a\u003E were produced by workshops that brought together researchers from universities, national labs, government, and industry to set priorities for scientific computing.\u003C\/p\u003E\u003Cp\u003EProfessor\u0026nbsp;\u003Ca href=\u0022https:\/\/slim.gatech.edu\/people\/felix-j-herrmann\u0022\u003EFelix Herrmann\u003C\/a\u003E served on the organizing committee for the Workshop on Inverse Methods for Complex Systems under Uncertainty. Assistant Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/faculty.cc.gatech.edu\/~pchen402\/group.html\u0022\u003EPeng Chen\u003C\/a\u003E joined Herrmann as a workshop participant, contributing expertise in data science and machine learning.\u003C\/p\u003E\u003Cp\u003EInverse methods work backward from outcomes to find their causes. Scientists use these tools to study complex systems, like designing new materials with targeted properties and using past wildfires to map vulnerable areas and behavior of future fires.\u003C\/p\u003E\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/www.osti.gov\/biblio\/2583339\u0022\u003EASCR report\u003C\/a\u003E highlighted Herrmann\u2019s work on seismic exploration and monitoring through digital twins. Founded on inverse methods, digital twins upgrade from static models to virtual systems that accurately mirror their physical counterparts.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDigital twins integrate real-time data sources, including fluid flows, monitoring and control systems, risk assessments, and human decisions. These models also account for uncertainty and address data gaps or limitations.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe DOE organized the workshop to support the growing role of inverse modeling. The group identified four priority research directions (PRDs) to guide future work. The PRDs are:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EPRD 1: Discovering, exploiting, and preserving structure\u003C\/li\u003E\u003Cli\u003EPRD 2: Identifying and overcoming model limitations\u003C\/li\u003E\u003Cli\u003EPRD 3: Integrating disparate multimodal and\/or dynamic data\u003C\/li\u003E\u003Cli\u003EPRD 4: Solving goal-oriented inverse problems for downstream tasks\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cA digital twin is a system you can control, like to optimize operations or to minimize risk,\u201d said Herrmann, who holds joint appointments in the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003E\u201cDigital twins give you a principled way to consider uncertainties, which there are a lot in subsurface monitoring. If you inject carbon dioxide too fast, you will will increase the pressure and may fracture the rock. If you inject too slow, then the process may become too costly. Digital twins help us make balanced decisions under uncertainty.\u201d\u003C\/p\u003E\u003Cp\u003ESupercomputers, algorithms, and artificial intelligence now power modern science. However, these tools consume enormous amounts of energy. This raises concerns about how to sustain computing and scientific research as we know them in the decades ahead.\u003C\/p\u003E\u003Cp\u003EProfessors\u0026nbsp;\u003Ca href=\u0022https:\/\/vuduc.org\/v2\/\u0022\u003ERich Vuduc\u003C\/a\u003E and\u0026nbsp;\u003Ca href=\u0022https:\/\/hyesoon.github.io\/\u0022\u003EHyesoon Kim\u003C\/a\u003E co-authored\u0026nbsp;\u003Ca href=\u0022https:\/\/www.osti.gov\/biblio\/2476961\u0022\u003Ethe report\u003C\/a\u003E from the Workshop on Energy-Efficient Computing for Science. At the three-day ASCR workshop, participants identified five key research directions:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EPRD 1: Co-design energy-efficient hardware devices and architectures for important workloads\u003C\/li\u003E\u003Cli\u003EPRD 2: Define the algorithmic foundations of energy-efficient scientific computing\u003C\/li\u003E\u003Cli\u003EPRD 3: Reconceptualize software ecosystems for energy efficiency\u003C\/li\u003E\u003Cli\u003EPRD 4: Enable energy-efficient data management for data centers, instruments, and users\u003C\/li\u003E\u003Cli\u003EPRD 5: Develop integrated, scalable energy measurement and modeling capabilities for next-generation computing systems\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u201cI\u2019m cautiously optimistic about the future of energy-efficient computing. The ASCR report says, from a technological point of view, there are things we can do,\u201d said Vuduc.\u003C\/p\u003E\u003Cp\u003E\u201cThe report lays out paths for how we might design better apps, hardware systems, and algorithms that will use less energy. This is recognition that we should think about how architectures and software work together to drive down energy usage for systems.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers applied their expertise to a national research program that will shape the future of computing. Their work may yield more energy-efficient computers and better predictions for environmental challenges like carbon storage, tsunamis, wildfires, and sustainable energy.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe Department of Energy Office of Science recently released two reports through its Advanced Scientific Computing Research (\u003Ca href=\u0022https:\/\/www.energy.gov\/science\/ascr\/advanced-scientific-computing-research\u0022\u003EASCR\u003C\/a\u003E) program. The\u0026nbsp;\u003Ca href=\u0022https:\/\/science.osti.gov\/ascr\/Community-Resources\/Program-Documents\u0022\u003Ereports\u003C\/a\u003E were produced by workshops that brought together researchers from universities, national labs, government, and industry to set priorities for scientific computing.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech faculty members contributed to two DOE Advanced Scientific Computing Research program workshops. Recently published reports of their work may yield more energy-efficient computers and better predictions for environmental challenges."}],"uid":"36319","created_gmt":"2026-03-04 13:29:44","changed_gmt":"2026-03-04 21:01:18","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-02-27T00:00:00-05:00","iso_date":"2026-02-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679513":{"id":"679513","type":"image","title":"ASCR-Report-Authors.png","body":null,"created":"1772630996","gmt_created":"2026-03-04 13:29:56","changed":"1772630996","gmt_changed":"2026-03-04 13:29:56","alt":"DOE Office of Science ASCR Reports","file":{"fid":"263685","name":"ASCR-Report-Authors.png","image_path":"\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Authors.png","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Authors.png","mime":"image\/png","size":578789,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/04\/ASCR-Report-Authors.png?itok=dQ53-joi"}},"679514":{"id":"679514","type":"image","title":"ASCR-Report-Inverse-methods.jpg","body":null,"created":"1772631052","gmt_created":"2026-03-04 13:30:52","changed":"1772631052","gmt_changed":"2026-03-04 13:30:52","alt":"ASCR Workshop on Inverse Methods for Complex Systems under Uncertainty","file":{"fid":"263686","name":"ASCR-Report-Inverse-methods.jpg","image_path":"\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Inverse-methods.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Inverse-methods.jpg","mime":"image\/jpeg","size":56325,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/04\/ASCR-Report-Inverse-methods.jpg?itok=rZGhJhnP"}},"679515":{"id":"679515","type":"image","title":"ASCR-Report-Energy-Efficient-Computing.jpg","body":null,"created":"1772631087","gmt_created":"2026-03-04 13:31:27","changed":"1772631087","gmt_changed":"2026-03-04 13:31:27","alt":"ASCR Workshop on Energy-Efficient Computing for Science","file":{"fid":"263687","name":"ASCR-Report-Energy-Efficient-Computing.jpg","image_path":"\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Energy-Efficient-Computing.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/04\/ASCR-Report-Energy-Efficient-Computing.jpg","mime":"image\/jpeg","size":58857,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/04\/ASCR-Report-Energy-Efficient-Computing.jpg?itok=-0arX_Rb"}}},"media_ids":["679513","679514","679515"],"related_links":[{"url":"https:\/\/www.cc.gatech.edu\/news\/new-research-priorities-chart-course-toward-impactful-energy-efficient-computing","title":"New Research Priorities Chart Course Toward Impactful, Energy-Efficient Computing"}],"groups":[{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"144","name":"Energy"},{"id":"154","name":"Environment"},{"id":"150","name":"Physics and Physical Sciences"},{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"9153","name":"Research Horizons"},{"id":"187915","name":"go-researchnews"},{"id":"10199","name":"Daily Digest"},{"id":"181991","name":"Georgia Tech News Center"},{"id":"663","name":"Department of Energy"},{"id":"179230","name":"digital twin"},{"id":"15030","name":"high-performance computing"},{"id":"9167","name":"machine learning"},{"id":"187812","name":"artificial intelligence (AI)"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"},{"id":"39431","name":"Data Engineering and Science"},{"id":"39531","name":"Energy and Sustainable Infrastructure"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003E\u003Ca href=\u0022mailto:bryant.wine@cc.gatech.edu\u0022\u003Ebryant.wine@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}