Top Results for Deepmind

AlphaFold 3 is an artificial intelligence model developed by Google DeepMind and Isomorphic Labs. Introduced in 2024, it predicts the joint three-dimensional structure and interactions of complexes comprising proteins, DNA, RNA, and small molecule ligands. Expanding upon the protein-focused capabili...

AlphaFold 2 is an artificial intelligence system developed by Google DeepMind to predict the three-dimensional structure of proteins from their amino acid sequences. First released in 2020, it achieved unprecedented accuracy in the 14th Critical Assessment of Protein Structure Prediction (CASP14) co...

WaveNet is a deep neural network architecture for generating raw audio waveforms, introduced by researchers at DeepMind in a paper published in September 2016. It uses a dilated causal convolutional network to model audio signals directly at the sample level, producing more natural-sounding speech t...

MuZero is a reinforcement learning algorithm developed by DeepMind, detailed in a 2020 publication in the journal Nature. It learns to master environments without being provided their rules by simultaneously learning a model of the environment and improving its decision-making policy. MuZero achieve...

Chinchilla is a large language model developed by DeepMind and detailed in a 2022 research paper. It features 70 billion parameters and was trained using the same computational budget as DeepMind's earlier 280-billion-parameter Gopher model. By adjusting the balance between model size and training d...

David Silver is a British computer scientist and a principal research scientist at Google DeepMind. He is known for his work in artificial intelligence and reinforcement learning, specifically for leading the team that developed AlphaGo. AlphaGo became the first AI program to defeat a human world ch...

AlphaCode 2 is an artificial intelligence system developed by Google DeepMind for competitive programming, announced in 2023. It utilizes the Gemini large language model architecture and employs a reinforcement learning pipeline to generate, evaluate, and filter potential code solutions. During test...

Flamingo is a multimodal visual language model introduced by DeepMind in 2022. The architecture is designed to process arbitrarily interleaved sequences of images and text, allowing it to perform visual question answering and image captioning. It achieves strong few-shot learning capabilities by con...

AlphaCode is a DeepMind project employing advanced AI models to solve complex programming problems. It analyzes code generated by large language models assessing its correctness and efficiency. Primarily designed for researchers investigating artificial intelligence in competitive coding, AlphaCode...

AlphaStar was an artificial intelligence program developed by DeepMind designed to play the real-time strategy game StarCraft II. Introduced to the public through exhibition matches in late 2018 and detailed in a 2019 Nature publication, the agent utilized deep reinforcement learning and multi-agent...

Gopher is a 280-billion-parameter language model developed by DeepMind and detailed in a December 2021 research paper. The model was part of a family of language models ranging from 44 million to 280 billion parameters, with Gopher being the largest variant. At the time of release, Gopher achieved s...

Mustafa Suleyman is a British technology entrepreneur and artificial intelligence executive who co-founded DeepMind, an AI research company acquired by Google in 2014. He later co-founded Inflection AI, which developed consumer-facing conversational AI systems. In 2024 he joined Microsoft as chief e...

AlphaEvolve is a browser extension that enhances ChatGPT and other AI models by enabling users to create, manage, and execute complex, multi-step workflows called "evolutions" for more sophisticated tasks.