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15 de jan. de 2024 · Fonte de reprodução:Pinterest. O Google DeepMind é uma subsidiária do Google dedicada à pesquisa de inteligência artificial (IA). Foi fundado em 2010 por Demis Hassabis, Shane Legg e Mustafa Suleyman. O objetivo do DeepMind é criar IA que seja capaz de resolver problemas complexos e influenciar positivamente o mundo.
21 de abr. de 2023 · Histórico das empresas pilares do Google DeepMind. Hassabis fundou a DeepMind em 2010, com Shane Legg e Mustafa Suleyman, com o Google adquirindo a companhia em 2014 por US$ 500 milhões.
16 de nov. de 2023 · Overview — Find out more about Google DeepMind. Responsibility & Safety — We want AI to benefit the world, so we must be thoughtful about how it’s built and used. Education — Broadening participation in science and protect the future of research and education. Careers — Join a community with a unique mission.
20 de abr. de 2023 · That’s why today Sundar is announcing that DeepMind and the Brain team from Google Research will be joining forces as a single, focused unit called Google DeepMind. Combining our talents and efforts will accelerate our progress towards a world in which AI helps solve the biggest challenges facing humanity, and I’m incredibly excited to be ...
Google DeepMind aims to build advanced AI to expand our knowledge and find new answers. By solving this one thing, we believe we could help people solve thousands of problems.
27 de jul. de 2021 · A Generalist Agent. Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari ...
7 de jun. de 2023 · Discovering faster sorting algorithms. AlphaDev uncovered new sorting algorithms that led to improvements in the LLVM libc++ sorting library that were up to 70% faster for shorter sequences and about 1.7% faster for sequences exceeding 250,000 elements. We focused on improving sorting algorithms for shorter sequences of three to five elements.
