Research
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Research
Google DeepMind at NeurIPS 2024
Advancing adaptive AI agents, empowering 3D scene creation, and innovating LLM training for a smarter, safer future
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Research
Genie 2: A large-scale foundation world model
Generating unlimited diverse training environments for future general agents
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Research
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.
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- Date
- Title
- Mastering Board Games by External and Internal Planning with Language Models
- Authors
- John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomašev
- Venue
- arXiv
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- Date
- Title
- How Well Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?
- Authors
- Sohee Yang, Nora Kassner, Elena Gribovskaya, Sebastian Riedel, Mor Geva
- Venue
- arXiv
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- Date
- Title
- Understanding LLM Embeddings for Regression
- Authors
- Eric Tang, Bangding Yang, Xingyou Song
- Venue
- arXiv
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- Date
- Title
- AI can help humans find common ground in democratic deliberation
- Authors
- Michael Henry Tessler†, Michiel A Bakker†, Daniel Jarrett, Hannah Sheahan*, Martin Chadwick, Raphael Koster, Georgina Evans, Lucy Campbell-Gillingham, Teddy Collins*, David C Parkes*, Matthew Botvinick, Christopher Summerfield*
- Venue
- Science
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- Date
- Title
- Prompting Considered Harmful
- Authors
- Meredith Ringel Morris
- Venue
- Communications of the ACM
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- Date
- Title
- Predicting from Strings: Language Model Embeddings for Bayesian Optimization
- Authors
- Tung Nguyen, Qiuyi Zhang, Bangding Yang, Chansoo Lee, Jorg Bornschein, Yingjie Miao, Sagi Perel, Yutian Chen, Xingyou Song
- Venue
- arXiv
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- Date
- Title
- Diffusion model predictive control
- Authors
- Stannis Zhou, Siva Swaminathan, Rajkumar Vasudeva Raju, Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lazaro-Gredilla, Kevin Murphy
- Venue
- arXiv
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- Date
- Title
- Learned feature representations are biased by complexity, learning order, position, and more
- Authors
- Andrew Lampinen, Stephanie Chan, Katherine Hermann
- Venue
- Transactions on Machine Learning Research (TMLR)
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- Date
- Title
- Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
- Authors
- Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahar Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay Ramasesh, Quoc Le, Ed Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska
- Venue
- arXiv
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- Date
- Title
- The Vizier Gaussian Process Bandit Algorithm
- Authors
- Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
- Venue
- arXiv
Breakthroughs
Explore some of the biggest innovations in AI, many of which underpin the modern AI industry.
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AlphaChip
Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world
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AlphaProteo
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
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AlphaGeometry
Breakthrough AI performance solving complex math problems
Open Research roles
Join our team to work at the frontier of AI research, shaping the future of AI-powered products and scientific discovery.
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Research Scientist, Language
Research
London, UK
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Research Scientist, Large Scale Pre-Training Data
Research
London, UK
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Research Scientist, Large Scale Pre-Training Model
Research
London, UK
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Research Scientist, Multimodal Assistive Agents (Astra) - Tokyo
Research
Tokyo, Japan
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Research Scientist, Generative Media
Research
London, UK