[AI HW & Systems Design Track]: Reconfigurable AI Computing | Kisaco Research

[AI HW & Systems Design Track]: Reconfigurable AI Computing

Abstract coming soon...

Sponsor(s): 
Flex Logix
Speaker(s): 

Author:

Jeremy Roberson

Director of Inference Software
FlexLogix

Director of Inference Software at Flex Logix. Jeremy earned his BSEE, MSEE, and PhD EE degrees from UC Davis specializing in Signal Processing Algorithms. Jeremy has worked on algorithms and hardware accelerator architectures for machine learning and signal processing in domains such as automatic speech recognition, object detection for biomedicine, capacitive sensing systems, and more. He has several patents and publications within these areas. He has spent the last 6 years working on inference SW for AI accelerators, first at Intel, and now at Flex Logix. 

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Jeremy Roberson

Director of Inference Software
FlexLogix

Director of Inference Software at Flex Logix. Jeremy earned his BSEE, MSEE, and PhD EE degrees from UC Davis specializing in Signal Processing Algorithms. Jeremy has worked on algorithms and hardware accelerator architectures for machine learning and signal processing in domains such as automatic speech recognition, object detection for biomedicine, capacitive sensing systems, and more. He has several patents and publications within these areas. He has spent the last 6 years working on inference SW for AI accelerators, first at Intel, and now at Flex Logix.