{"693881":{"#nid":"693881","#data":{"type":"news","title":"Georgia Tech Researchers Build Dual AI Platforms to Transform How We Understand Complex Systems","body":[{"value":"\u003Cp\u003EGeorgia Tech researchers are advancing how people visualize, manage, and interact with some of the world\u2019s most complex systems, from the national energy grid to large-scale logistics networks. Two new projects developed within Tech AI, the artificial intelligence (AI) hub at Georgia Tech, highlight this drive.\u003C\/p\u003E\u003Cp\u003ETech AI\u2019s Research Software Engineers Jeremy Garcia and Austin Weeks, who work under Dave Brownell, Tech AI\u2019s head of engineering, are creating AI-driven platforms designed to turn complexity into clarity while keeping ease of use at the forefront. Their goal is simple: Displaying a dataset should require minimal effort, whether the data represents a local model or global infrastructure.\u003C\/p\u003E\u003Cp\u003EBoth projects, Garcia\u2019s 3D \u003Cstrong\u003EVisualization Platform\u003C\/strong\u003E and Weeks\u2019 \u003Cstrong\u003EArmada\u003C\/strong\u003E, a logistics platform operating at global, national, state, and city levels, reflects Tech AI\u2019s commitment to practical, research-backed solutions that are ready to be deployed across industry and academia.\u003C\/p\u003E\u003Cp\u003EBoth researchers picture a future where their platforms work together in a seamless way. A user could begin with Armada\u2019s nationwide or international perspective, tracking supply chain flows and warehouse networks, and then zoom into a specific warehouse or plant to explore its internal operations through Garcia\u2019s 3D Visualization Platform.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESeeing Systems from Every Angle\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGarcia\u2019s platform transforms static data into a fully explorable 3D space. With the Visualization Platform, users can interact with complex systems, from chemical manufacturing lines to energy grids, and uncover insights that would otherwise remain hidden in spreadsheets or charts.\u003C\/p\u003E\u003Cp\u003E\u201cYou can zoom in on a single manufacturing plant or warehouse and watch its internal operations come alive,\u201d Garcia said. \u201cOnce you can visualize it, you can innovate on it.\u201d\u003C\/p\u003E\u003Cp\u003EThis micro-level view helps researchers, engineers, and students understand intricate processes that are often too complex to grasp otherwise and bridges academic study with real-world application.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EA Bird\u2019s-Eye Perspective for Logistics\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWhile Garcia\u2019s platform focuses on internal operations, Weeks\u2019 Armada provides a macro view of logistics systems at almost any scale. Armada can visualize scenarios internationally, nationally, statewide, and down to individual cities. It maps warehouses, distribution centers, and trucking routes to create a dynamic and interactive model of large-scale supply chains.\u003C\/p\u003E\u003Cp\u003EArmada enables organizations to simulate scenarios, identify bottlenecks, and optimize operations from a high-level perspective with minimal setup time.\u003C\/p\u003E\u003Cp\u003E\u201cYou can see the entire network at once, and then drill into whatever matters most,\u201d Weeks said. \u201cIt is powerful because organizations rarely get that kind of clarity.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMacro Meets Micro\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EThis integration would provide a new level of insight for industries such as retail, logistics, manufacturing, and robotics. It would allow organizations to understand and optimize complex systems from the broadest scale down to the smallest operational details.\u003C\/p\u003E\u003Cp\u003EThese platforms also reflect Georgia Tech\u2019s identity as an AI-forward institution, where research is paired with practical and deployable solutions. Both tools are already supporting student learning, exploratory research, and experimental modeling.\u003C\/p\u003E\u003Cp\u003E\u201cThese tools can be used in both industry and academia,\u201d Brownell said. \u201cThey help visualize and identify bottlenecks in large workflows, and they showcase optimizations achieved through targeted research. With them, complex systems become much easier to understand, and the value produced by the underlying processes is more apparent. Platforms like these are often difficult or time-consuming to build from scratch, but ours remove most of that burden and make powerful visualization capabilities accessible to everyone.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s Tech AI is developing complementary visualization platforms that bring clarity to complex systems, helping researchers and industry partners explore operations, identify bottlenecks and optimize workflows at every scale.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Tech AI engineers are developing two AI-driven platforms that help users visualize, analyze and better understand complex systems, from individual manufacturing operations to global logistics networks."}],"uid":"36348","created_gmt":"2026-11-09 15:08:11","changed_gmt":"2026-11-09 15:11:00","author":"Breon Martin","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-11-05T00:00:00-05:00","iso_date":"2026-11-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"681695":{"id":"681695","type":"image","title":"Jeremy-Garcia-and-Austin-Weeks-in-the-Tech-AI-space.jpg","body":null,"created":"1794236933","gmt_created":"2026-11-09 15:08:53","changed":"1794236933","gmt_changed":"2026-11-09 15:08:53","alt":"Jeremy Garcia and Austin Weeks","file":{"fid":"266134","name":"Jeremy-Garcia-and-Austin-Weeks-in-the-Tech-AI-space.jpg","image_path":"\/sites\/default\/files\/2026\/11\/09\/Jeremy-Garcia-and-Austin-Weeks-in-the-Tech-AI-space.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/11\/09\/Jeremy-Garcia-and-Austin-Weeks-in-the-Tech-AI-space.jpg","mime":"image\/jpeg","size":472504,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/11\/09\/Jeremy-Garcia-and-Austin-Weeks-in-the-Tech-AI-space.jpg?itok=rucND6-r"}}},"media_ids":["681695"],"groups":[{"id":"660368","name":"Tech AI (Artificial Intelligence)"}],"categories":[{"id":"194606","name":"Artificial Intelligence"}],"keywords":[],"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":""}}}