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  1. 20 de may. de 2024 · Google DeepMind is a team of researchers and engineers who develop artificial intelligence systems for various domains and applications. Learn about their latest breakthroughs, technologies, case studies, and responsibility principles.

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      Overview — Find out more about Google DeepMind....

    • Gemini

      Build Google AI Studio An easy way to develop model prompts...

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      Official Blog. Google DeepMind. News from Google DeepMind,...

  2. Google DeepMind es una compañía inglesa de investigación y desarrollo de inteligencia artificial adquirida en 2014 por Alphabet Inc., empresa matriz de Google. La compañía fue fundada en 2010, por Demis Hassabis.

  3. Google DeepMind is a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly. Learn about their mission, vision, journey, breakthrough technologies, and responsibility and safety principles.

  4. deepmind.google › technologies › geminiGemini - Google DeepMind

    Gemini is a multimodal AI model that can reason across text, images, audio, video, and code. It outperforms human experts on MMLU and surpasses state-of-the-art models on various benchmarks.

  5. 8 de may. de 2024 · May 08, 2024. 6 min read. Introducing AlphaFold 3, a new AI model developed by Google DeepMind and Isomorphic Labs. By accurately predicting the structure of proteins, DNA, RNA, ligands and more, and how they interact, we hope it will transform our understanding of the biological world and drug discovery. Google DeepMind AlphaFold team.

  6. 14 de may. de 2024 · Higher quality images. Imagen 3 generates visually rich, high-quality images, with good lighting and composition. It can accurately render small details like the fine wrinkles on a person’s hand, and complex textures like a knitted stuffed toy elephant. Prompt: Elephant amigurumi walking in savanna, a professional photograph, blurry background.

  7. Gemini es un modelo de inteligencia artificial multimodal, flexible y capaz, que puede entender y operar con distintos tipos de información. Se construyó desde cero para ser útil e intuitivo, como un colaborador o un asistente experto, y se optimizó en tres tamaños diferentes.