{"674264":{"#nid":"674264","#data":{"type":"news","title":"Athena Wins Best Presentation Award for Brain-inspired AI Research","body":[{"value":"\u003Cp\u003EPh.D. candidate Fabia Farlin Athena received the \u003Ca\u003EJohns Hopkins Applied Physics Laboratory\u003C\/a\u003E\u0026nbsp;(APL)\u0026nbsp;Machine Learning Outstanding Oral Presentation Award.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe was recently notified of the award for her presentation, \u201cDescribing the Analog Resistance Change of HfOx Neuromorphic Synapses,\u201d given at the \u003Ca href=\u0022https:\/\/www.mrs.org\/meetings-events\/fall-meetings-exhibits\/2023-mrs-fall-meeting\u0022\u003EMaterials Research Society\u2019s (MRS) Fall 2023 Meeting \u003C\/a\u003Ein Boston.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research was recognized for its contributions to future materials and technologies toward sustainable heterogeneous computing and energy-efficient machine learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMRS brings together materials researchers from around the world to promote the sharing and communication of interdisciplinary research and technology to improve the quality of life.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAthena, an IBM Ph.D. Fellow, conducted the research with her advisor, Eric M. Vogel, a Hightower Professor in the School of Materials Science and Engineering (MSE), with an adjunct appointment in School of Electrical and Computer Engineering (ECE).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EShe presented a compact model, Compact Series Trap-Assisted Tunneling and Ohmic conduction (C-STAO), which enables the rapid simulation of artificial HfOx synaptic devices. The model provides deep insights into the analog temporal responses and temperature dependency of artificial synaptic devices, which are used to develop brain-inspired circuits.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese brain-inspired circuits are important for the development of AI systems and can help them to meet increasing computational demands while achieving more human-like cognitive capabilities with improved efficiency.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt also furthers Athena\u2019s Ph.D. research, dedicated to the development of adaptive oxide devices for neuromorphic computing, aimed at replicating the human brain\u0027s functionality for more intelligent and energy-efficient computing.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EFunding Acknowledgement\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis project was supported by the Air Force Office of Scientific Research MURI entitled, \u201cCross-disciplinary Electronic-ionic Research Enabling Biologically Realistic Autonomous Learning (CEREBRAL)\u201d under Award No. FA9550-18-1-0024.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis work was performed in part at the Georgia Tech Institute for Electronics and Nanotechnology, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation (No. ECCS-1542174). The work was also supported by the Cadence Diversity in Technology Scholarship and the IBM Ph.D. Fellowship Award No. 2022-2024.\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe research will advance the development of AI systems to meet increasing computational demands, while\u0026nbsp;achieving more human-like cognitive capabilities with improved efficiency.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"The research will advance the development of AI systems to meet increasing computational demands, while\u00a0achieving more human-like cognitive capabilities with improved efficiency."}],"uid":"36558","created_gmt":"2024-04-18 19:16:45","changed_gmt":"2024-04-18 19:26:26","author":"zwiniecki3","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-04-18T00:00:00-04:00","iso_date":"2024-04-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673760":{"id":"673760","type":"image","title":"Athena SQ.jpg","body":null,"created":"1713467813","gmt_created":"2024-04-18 19:16:53","changed":"1713467813","gmt_changed":"2024-04-18 19:16:53","alt":"Athena Fabia Farlin","file":{"fid":"257194","name":"Athena SQ.jpg","image_path":"\/sites\/default\/files\/2024\/04\/18\/Athena%20SQ.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/04\/18\/Athena%20SQ.jpg","mime":"image\/jpeg","size":894993,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/04\/18\/Athena%20SQ.jpg?itok=ZZ2QVQtw"}}},"media_ids":["673760"],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[{"id":"145","name":"Engineering"}],"keywords":[{"id":"1693","name":"MRS"},{"id":"193644","name":"APL"},{"id":"2835","name":"ai"},{"id":"365","name":"Research"},{"id":"1692","name":"materials"}],"core_research_areas":[{"id":"39471","name":"Materials"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EZachary Winiecki\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["zwiniecki3@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}