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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’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, Google's AI R&D lab, says it has developed a new AI system to tackle problems with "machine-gradeable" ...
Google is launching a major AI initiative that could shape the next generation of artificial intelligence startups. The AI ...
Google’s Gemini AI models are expected to be in the spotlight, with the Gemini 2.5 Pro update likely to grab headlines. Other ...
Google's AI Futures Fund seeks to invest in startups that are building with the latest AI tools from Google DeepMind, the ...
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 ...
AlphaEvolve is a new AI tool from Google that can improve all sorts of algorithms, which might make Gemini AI better.
A Google DeepMind system improves chip designs and addresses unsolved math problems but has not been rolled out to ...
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