Excited to share that our work has been published in Nature! Our RL agent generates chip layouts in just a few hours, whereas human experts can take months. These superhuman AI-generated layouts were used in Google's latest AI accelerator (TPU-v5)! https://t.co/k12Kj4jfbC
Very excited to see the MLPerf 0.7 results released today, where Google TPUs set records in six of the eight benchmarks!
We need bigger benchmarks, because we can now train the ResNet-50, BERT, Transformer, & SSD benchmarks each in under 30 seconds.
https://t.co/J6vbZ8srs1
@tehjh This sounds similar to how "atomic" primitives are implemented in software transactional memory libraries (acquire, execute, check lock version/timestamp, commit or rollback)
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