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Google DeepMind’s AlphaEvolve Trains Itself to Create Advanced Algorithms
Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance algorithms used in mathematics and computing. The system develops new and more complex algorithms for “mathematical analysis, geometry, combinatorics and number theory.”
Google DeepMind creates super-advanced AI that can invent new algorithms
Google's next-generation Tensor processing hardware will also benefit from AlphaEvolve. DeepMind reports that the AI created a change to the chip's Verilog hardware description language that dropped unnecessary bits to increase efficiency. Google is still working to verify the change but expects this to be part of the upcoming processor.
Google is launching a major AI initiative that could shape the next generation of artificial intelligence startups. The AI ...
Google’s openly available Gemma collection of AI models has reached a milestone: over 150 million downloads. Omar Sanseviero, ...
System improves chip designs and tackles unsolved maths problems, but has not been rolled out to researchers outside the ...
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Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...
Google DeepMind, Google's AI R&D lab, says it has developed a new AI system to tackle problems with "machine-gradeable" ...
Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and ...
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