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Questions Re: System Validation, Neural-Network Hardware, and Deep Learning

When it comes to using AI, look for problems that have rules. If there are rules that enable people to solve the problem, that helps a lot

In this Q&A session, DVCon U.S. audience members questioned panelists about system validation, neural-network hardware, and deep-learning training and inference.

The hour-long session featured panelists Raymond Nijssen, vice president and chief technologist at Achronix; Rob Aitken, fellow and director of technology at Arm; Alex Starr, senior fellow at AMD; Ty Garibay, vice president of hardware engineering at Mythic; and Saad Godil, director of Applied Deep Learning Research at Nvidia.

In the last of this four-part mini-series based on the panel transcript, audience members questioned panelists about system validation, neural-network hardware, and deep-learning training and inference.

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