AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center ...

A Google DeepMind system improves chip designs and addresses unsolved math problems but has not been rolled out to researchers outside the company ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians since Strassen's ...

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A few things are clear from the exams. The increased length of the papers allows more explicit instructions on what is required of students. Students now also have less choice: students are usually ...

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Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created ...

The AI, he writes in the post, reduced the number of steps needed to multiply two 4x4 matrices from 49 to 48 — the first such improvement in 56 years. Das termed AlphaEviolve as the “AlphaGo move 37 ...

But getting AI models (even small ones) to run reliably on people’s personal devices will require a step change in the chips ...