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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 DeepMind, Google's AI R&D lab, says it has developed a new AI system to tackle problems with "machine-gradeable" ...
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Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...
A Google DeepMind system improves chip designs and addresses unsolved math problems but has not been rolled out to ...
Google's AI Futures Fund seeks to invest in startups that are building with the latest AI tools from Google DeepMind, the ...
OpenAI has launched Codex, an AI coding agent powered by codex-1, designed to assist software engineers with tasks like ...
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