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SUMMARY:Convergent Intelligence: AI Hardware Co-Design and the Future of C
 omputing
DTSTART:20260929T133000Z
DTEND:20260930T220000Z
DTSTAMP:20260819T080600Z
UID:indico-event-1715931@indico.cern.ch
DESCRIPTION:Speakers: Mark Neubauer (Univ. Illinois at Urbana Champaign (U
 S))\n\n\nArtificial intelligence (AI) is reshaping society\, science\, and
  computing—from scientific discovery and advanced manufacturing to healt
 h care\, communications\, and intelligent-edge systems. Yet the escalating
  computational and energy demands of frontier AI are exposing significant 
 limits to its efficiency\, sustainability\, accessibility\, and scalabilit
 y. Realizing AI’s full potential will require more than increasingly cap
 able models\; it will require radically new approaches to how AI systems a
 re designed\, built\, and deployed.\nJointly organized by the NSF Phase-II
  POSE HLS4ML Project\, the Discovery Partners Institute\, and the NSF Acce
 lerated AI Algorithms for Data-Driven Discovery Institute \, with particip
 ation from the FastML Foundation\, this two-day workshop will bring togeth
 er researchers\, engineers\, open-source developers\, and industry partner
 s to explore new directions for the future of AI computing.\nA central the
 me is convergent intelligence: an emerging paradigm for advancing AI in w
 hich algorithms\, computing platforms\, hardware and software architecture
 s\, design tools\, and data resources are developed in close coordination.
  The workshop will explore how this integrated approach can help enable mo
 re efficient\, sustainable\, accessible\, and scalable AI.\n\nhttps://indi
 co.cern.ch/event/1715931/
URL:https://indico.cern.ch/event/1715931/
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