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MLCommons, a group that develops benchmarks for AI technology training algorithms, revealed the results for a new test that determines system speeds for training algorithms specifically used for the ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

A non-transitory program storage device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform a method for ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...