A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...
Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Adding a dash of encryption to key algorithms used in artificial intelligence models could – surprisingly – make them more efficient, thanks to a trick of mathematics. Cryptography normally involves ...
Growing data center power demands are driving server end-equipment manufacturers to reach higher power-conversion efficiencies in order to reduce the thermal footprint of their systems. The transition ...
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