The International Solid-State Circuits Conference’s digital architecture sub‑committee took time out to talk about artificial intelligence processors. It noted that: “Deep learning is a rapidly evolving topic, and the computational complexity of typical deep neural networks impedes their execution on resource‑scarce mobile or wearable devices. “Last year, several innovative solutions were introduced to enhance throughput ...
This story continues at ISSCC: Deep learning hardware boosts for AI
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