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DTSTART;TZID=America/Los_Angeles:20250502T160000
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DESCRIPTION:The compute demands of AI and robotics continue to rise due to 
 the rapidly growing volume of data to be processed\; the increasingly comp
 lex algorithms for higher quality of results\; and the demands for energy 
 efficiency and real-time performance. In this talk\, we will discuss the d
 esign of efficient tailored hardware accelerators and the co-design of alg
 orithms and hardware that reduce the energy consumption while delivering s
 wift real-time and robust performance for applications including deep neur
 al networks\, data analytics with sparse tensor algebra\, and autonomous n
 avigation.\n\nCo-sponsored by: Upkar Dhaliwal\, Upal Mahbub\n\nSpeaker(s):
  Dr. Vivienne Sze\, \n\nRoom: NEST Room\, 5951 Village Center Loop Rd\, Sa
 n Diego\, California\, United States\, 92130\, Virtual: https://events.vto
 ols.ieee.org/m/481855
LOCATION:Room: NEST Room\, 5951 Village Center Loop Rd\, San Diego\, Califo
 rnia\, United States\, 92130\, Virtual: https://events.vtools.ieee.org/m/4
 81855
ORGANIZER:jfshi@ieee.org
SEQUENCE:11
SUMMARY:Efficient Computing for AI and Robotics
URL;VALUE=URI:https://events.vtools.ieee.org/m/481855
X-ALT-DESC:Description: <br /><p>The compute demands of AI and robotics con
 tinue to rise due to the rapidly growing volume of data to be processed\; 
 the increasingly complex algorithms for higher quality of results\; and th
 e demands for energy efficiency and real-time performance. In this talk\, 
 we will discuss the design of efficient tailored hardware accelerators and
  the co-design of algorithms and hardware that reduce the energy consumpti
 on while delivering swift real-time and robust performance for application
 s including deep neural networks\, data analytics with sparse tensor algeb
 ra\, and autonomous navigation. &nbsp\;</p>
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