Goretech

  AlphaEvolve : A Gemini-powered coding agent for designing advanced algorithms Designing better algorithms with large language models In 2023, we showed for the first time that large language models can generate functions written in computer code to help discover new and provably correct knowledge on an open scientific problem. AlphaEvolve is an agent that can go beyond single function discovery to evolve entire codebases and develop much more complex algorithms. AlphaEvolve leverages an ensemble of state-of-the-art large language models: our fastest and most efficient model, Gemini Flash , maximizes the breadth of ideas explored, while our most powerful model, Gemini Pro , provides critical depth with insightful suggestions. Together, these models propose computer programs that implement algorithmic solutions as code. AlphaEvolve verifies, runs and scores the proposed programs using automated evaluation metrics. These metrics provide an objective, quantifiable assessment of each...

  The Google for Startups Gemini kit is here This new suite of tools will help startups build faster with its AI tools and resources. We’ve supported thousands of startups as they use AI to scale their businesses, and we know that this work comes with lots of questions: Where do I start? How much does it cost? And who do I ask when I get stuck? We want to make sure that entrepreneurs using AI have everything they need to build the next big thing, all in one place. The  Google for Startups Gemini Kit  is available at no cost and designed to meet you wherever you are as you adopt AI. You’ll find the tools, credits, training and community support you need to build faster and bring AI into your products and workstreams from day one: Quoted text from Paige Bailey describing the Startups Gemini Kit: "Get your Gemini API key in seconds and start  prototyping in AI Studio. Next costs As  you scale you can apply for the Google  for startups cloud program Up to ...

  AlphaQubit tackles one of quantum computing’s biggest challenges Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable. In a   paper published today in Nature , we introduce AlphaQubit, an AI-based decoder that identifies quantum computing errors with state-of-the-art accuracy. This collaborative work brought together Google DeepMind’s machine learning knowledge and Google Quantum AI’s error correction expertise to accelerate progress on building a reliable quantum computer.