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UID:842f7660-cd09-431a-add0-10c1853f3b95@locally-social.com
DTSTAMP:20261112T160000Z
DTSTART:20261112T160000Z
DTEND:20261112T180000Z
SUMMARY:Bringing AI Closer to the Physical World: Smarter Sensing\, Connect
 ed Devices\, and Real-world Applications
LOCATION:The Glen Dining Hall\, 8000 York Rd\, Towson\, MD 21252\, USA
DESCRIPTION:Join us for Towson AI Institute’s Research Seminar featuring 
 Yifan Guo\, Ph.D.\, assistant professor in the Department of Computer and 
 Information Sciences.\n\n“Bringing AI Closer to the Physical World: Smar
 ter Sensing\, Connected Devices\, and Real-world Applications” explores 
 how AI and connected devices support smarter homes\, healthcare\, transpor
 tation\, and robotics.\n\nClick here to register\n\nTalk: 11a - 12p\n\nFoo
 d and conversation: 12p - 1p\n\nTalk Abstract\n\nArtificial intelligence (
 AI) is increasingly moving beyond large cloud data centers and becoming pa
 rt of the physical environments around us. From smart homes and buildings 
 to healthcare\, transportation\, robotics\, and autonomous systems\, many 
 emerging applications rely on sensors\, connected devices\, and local comp
 uting to understand what is happening in the real world and respond quickl
 y and intelligently.\n\nIn this talk\, it will discuss our research on bri
 nging AI closer to where data are generated and actions take place. Rather
  than relying entirely on distant cloud servers\, we explore how nearby de
 vices at the network edge can learn\, sense\, communicate\, and make decis
 ions together. This approach can make intelligent systems more responsive\
 , reduce unnecessary data transmission to remote cloud servers\, and bette
 r accommodate devices with different computing capabilities and energy lim
 itations. Additionally\, it will explore how different types of sensing\, 
 including mmWave radar\, cameras\, WiFi\, and LiDAR sensing\, can help bet
 ter understand people’s daily activities and objectives. Together\, it w
 ill illustrate how advances in AI can be more effective when learning\, se
 nsing\, and communication are designed together around the needs of real-w
 orld systems.\n\nFurthermore\, it will also discuss how this research is b
 eing integrated into education. By bringing emerging AI technologies\, han
 ds-on experimental platforms\, and research-inspired projects into the cla
 ssroom\, it aims to give students opportunit
URL:https://locally-social.com/share/event/842f7660-cd09-431a-add0-10c1853f
 3b95
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