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DTSTART:19700308T020000
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DTSTAMP:20211208T164510Z
LOCATION:3014
DTSTART;TZID=America/Los_Angeles:20211209T103000
DTEND;TZID=America/Los_Angeles:20211209T110000
UID:dac_DAC 2021_sess112@linklings.com
SUMMARY:AIVengers: Emerging AI Algorithms to the Rescue
DESCRIPTION:Research Manuscript\n\nDeep learning technology is evolving qu
 ickly. Recent years have seen the emergence of new deep learning methods, 
 including transformers, graph and temporal convolutions, and federated lea
 rning for AI at scale. This session presents hardware methods and optimiza
 tion for these emerging deep learning algorithms.\n\nPruning In Time (PIT)
 : A Light-weight Network Architecture Optimizer for Temporal Convolutional
  Networks\n\nBurrello\n\nTemporal Convolutional Networks (TCNs) are promis
 ing Deep Learning models for time-series processing tasks. One key feature
  of TCNs is time-dilated convolution, whose optimization requires extensiv
 e experimentation. We propose an automatic dilation optimizer that learns 
 dilation factors together wit...\n\n\nTopic: Design\n\nKeyword: AI/ML Syst
 em Design\n\nVirtual Program: Presented In-Person
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