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UID:d12d9dc4-c20d-45d3-a4a6-6b42b79e53a4@nexttoyou
DTSTAMP:20261106T172708Z
DTSTART:20261112T160000Z
DTEND:20261112T180000Z
SUMMARY:Bringing AI Closer to the Physical World: Smarter Sensing\, Connec
 ted Devices\, and Real-world Applications
LOCATION:10 West 165\, 10 Burke Ave\, Towson\, MD 21286
DESCRIPTION:Join us for Towson AI Institute’s Research Seminar featuring Y
 ifan Guo\, Ph.D.\, assistant professor in the Department of Computer and 
 Information Sciences.\n\n“Bringing AI Closer to the Physical World: Smart
 er Sensing\, Connected Devices\, and Real-world Applications” explores ho
 w AI and connected devices support smarter homes\, healthcare\, transport
 ation\, 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 
 part of the physical environments around us. From smart homes and buildin
 gs to healthcare\, transportation\, robotics\, and autonomous systems\, m
 any emerging applications rely on sensors\, connected devices\, and local
  computing to understand what is happening in the real world and respond 
 quickly and intelligently.\n\nIn this talk\, it will discuss our research
  on bringing AI closer to where data are generated and actions take place
 . Rather than relying entirely on distant cloud servers\, we explore how 
 nearby devices at the network edge can learn\, sense\, communicate\, and 
 make decisions together. This approach can make intelligent systems more 
 responsive\, reduce unnecessary data transmission to remote cloud servers
 \, and better accommodate devices with different computing capabilities a
 nd energy limitations. Additionally\, it will explore how different types
  of sensing\, including mmWave radar\, cameras\, WiFi\, and LiDAR sensing
 \, can help better\n\nhttp://next-to-u.app/events/d12d9dc4-c20d-45d3-a4a6
 -6b42b79e53a4
URL:http://next-to-u.app/events/d12d9dc4-c20d-45d3-a4a6-6b42b79e53a4
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