ISPD Predicts Chip Futures

Machine Learning to Determine Architectures

R. Colin Johnson EETimes, Apr. 06, 2017 – 

PORTLAND Ore. - The paradigm of real-time machine learning is eliminating many of the human-driven elements in the physical design of microchips, according to speakers at the Association for Computing Machinery's (ACM's) International Symposium on Physical Design (ISPD).

IEEE- and Intel-Fellow Pradeep Dubey of Intel's Parallel Computing Lab outlined how cognitive computers will take over many human elements in his keynote presentation the Quest for the Ultimate Learning Machine.

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