2025-05-14
AlphaEvolve is Google DeepMind's new AI system that autonomously creates better algorithms
Google Deepmind has unveiled AlphaEvolve, a system that uses large language models to automate the discovery and refinement of algorithms. The aim is to develop new algorithms, systematically improve them, and adapt them for practical use.
The article AlphaEvolve is Google DeepMind's new AI system that autonomously creates better algorithms appeared first on Discover Copy
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2025-05-14
5 impressive feats of DeepMind’s new self-evolving AI coding agent
Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurat [...]
2025-03-12
DeepMind's latest AI model can help robots fold origami and close Ziploc bags
Since its debut at the end of last year, Gemini 2.0 has gone on to power a handful of Google products, including a new AI Mode chatbot. Now Google DeepMind is using that same technology for something [...]
2025-05-14
Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs
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 Strasse [...]
2025-04-27
Google Deepmind staff plan to join union against military AI
About 300 Google DeepMind employees in London are seeking to join the Communication Workers Union (CWU), reports the Financial Times.<br /> The article Google Deepmind staff plan to join union a [...]
2025-04-02
DeepMind’s new research restrictions threaten AI innovation, warns Iris.ai CEO
Google DeepMind’s reported clampdown on sharing research will stifle AI innovation, warns the CEO of Iris.ai, one of Europe’s leading startups in the space. The UK-based lab has tightened its rule [...]
2025-05-04
Deepmind expert says trimming documents improves accuracy despite large context windows
In a recent interview, Nikolay Savinov from Deepmind explained that when a model is fed many tokens, it has to distribute its attention across all of them.<br /> The article Deepmind expert says [...]