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2017 GTC San Jose

S7649 - Applications of Deep Learning: Hardware QA

Session Speakers
Session Description

Hardware testing is a multifaceted challenge, but one that stands to benefit greatly from the advances in deep learning. The tricky formula of balancing good coverage against risk is consistently challenged with the rapid evolution of the problem space. The landscape in the industry today points to one that has been more or less linearly refined and improved upon, with the constant refrain of more resources being touted as the go-to solution. We'll discuss one of the ways we're working to evolve the approach to test: by harnessing the available tools in the deep learning space, offering a far more efficient path to providing better quality, while providing the flexibility of better coverage/risk decisions.


Additional Session Information
All
Talk
Deep Learning and AI Tools and Libraries
Hardware / Semiconductor
25 minutes
Session Schedule