Google DeepMind
Google's AI research lab behind AlphaGo, AlphaFold, and Gemini. Focuses on building general AI systems that can solve complex problems.
What is Google DeepMind?
Google DeepMind is Google's AI research lab that builds breakthrough AI systems for real-world problems.
They're the team behind AlphaGo (beat the world Go champion), AlphaFold (solved protein folding), and Gemini (Google's flagship AI model). Started in London in 2010, acquired by Google in 2014, merged with Google Brain in 2023.
Most builders interact with their work through Gemini in Google products or the Gemini API. Their research papers and open-source releases (like AlphaFold) push the entire AI field forward.
Led by Demis Hassabis, who won the 2024 Nobel Prize in Chemistry for AlphaFold. Their approach combines deep learning, reinforcement learning, and neuroscience principles.
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Related Terms
Autonomous software that observes, decides, and acts to complete tasks without constant human input, using LLMs as their decision-making brain.
Research and practices focused on ensuring AI systems behave as intended and don't cause unintended harm to humans or society.
Google's multimodal AI that can understand and generate text, images, audio, video, and code in a single conversation.
Computer systems that learn from data and perform tasks that typically require human intelligence, like recognizing patterns and making decisions.
A trained algorithm that takes inputs (text, images, data) and produces outputs (predictions, classifications, generated content).
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