Lines blur as processors are added into traditional FPGAs, and programmability is added into ASICs.
Costs of developing a complex chip could run as high as $1.5B, while power/performance benefits are likely to decrease.
Experts at the Table, part 1: Why machine learning works in some cases and not in others.
What AI and deep learning are good for, what they’re not good for, and why accuracy sometimes works against these systems.
Continued integration is no longer the natural way forward for semiconductors. What needs to happen to make it easier?
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Interests: System-Level Design Low Power-High Performance Manufacturing & Process Tech Packaging, Test & Materials IoT, Security & Automotive
