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Google DeepMind Blog

• Introducing Gemini 2.5 Flash
• Generate videos in Gemini and Whisk with Veo 2
• DolphinGemma: How Google AI is helping decode dolphin communication
• Taking a responsible path to AGI
• Evaluating potential cybersecurity threats of advanced AI
• Gemini 2.5: Our most intelligent AI model
• Gemini Robotics brings AI into the physical world
• Experiment with Gemini 2.0 Flash native image generation
• Introducing Gemma 3
• Start building with Gemini 2.0 Flash and Flash-Lite
• Gemini 2.0 is now available to everyone
• Updating the Frontier Safety Framework
• FACTS Grounding: A new benchmark for evaluating the factuality of large language models
• State-of-the-art video and image generation with Veo 2 and Imagen 3
• Introducing Gemini 2.0: our new AI model for the agentic era
• Google DeepMind at NeurIPS 2024
• GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy
• Genie 2: A large-scale foundation world model
• AlphaQubit tackles one of quantum computing’s biggest challenges
• The AI for Science Forum: A new era of discovery
• Pushing the frontiers of audio generation
• New generative AI tools open the doors of music creation
• Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry
• How AlphaChip transformed computer chip design
• Updated production-ready Gemini models, reduced 1.5 Pro pricing, increased rate limits, and more
• Empowering YouTube creators with generative AI
• Our latest advances in robot dexterity
• AlphaProteo generates novel proteins for biology and health research
• FermiNet: Quantum physics and chemistry from first principles
• A new generation of African talent brings cutting-edge AI to scientific challenges
• Mapping the misuse of generative AI
• Gemma Scope: helping the safety community shed light on the inner workings of language models
• AI achieves silver-medal standard solving International Mathematical Olympiad problems
• Google DeepMind at ICML 2024
• Generating audio for video
• Looking ahead to the AI Seoul Summit
• Introducing the Frontier Safety Framework
• Gemini breaks new ground: a faster model, longer context and AI agents
• New generative media models and tools, built with and for creators
• Watermarking AI-generated text and video with SynthID
• AlphaFold 3 predicts the structure and interactions of all of life’s molecules
• Google DeepMind at ICLR 2024
• The ethics of advanced AI assistants
• TacticAI: an AI assistant for football tactics
• A generalist AI agent for 3D virtual environments
• Gemma: Introducing new state-of-the-art open models
• Our next-generation model: Gemini 1.5
• The next chapter of our Gemini era
• AlphaGeometry: An Olympiad-level AI system for geometry
• Shaping the future of advanced robotics
• Images altered to trick machine vision can influence humans too
• 2023: A Year of Groundbreaking Advances in AI and Computing
• FunSearch: Making new discoveries in mathematical sciences using Large Language Models
• Google DeepMind at NeurIPS 2023
• Introducing Gemini: our largest and most capable AI model
• Millions of new materials discovered with deep learning
• Transforming the future of music creation
• Empowering the next generation for an AI-enabled world
• GraphCast: AI model for faster and more accurate global weather forecasting
• A glimpse of the next generation of AlphaFold
• Evaluating social and ethical risks from generative AI
• Scaling up learning across many different robot types
• A catalogue of genetic mutations to help pinpoint the cause of diseases
• Identifying AI-generated images with SynthID
• RT-2: New model translates vision and language into action
• Using AI to fight climate change
• Google DeepMind’s latest research at ICML 2023
• Developing reliable AI tools for healthcare
• Exploring institutions for global AI governance
• RoboCat: A self-improving robotic agent
• YouTube: Enhancing the user experience
• Google Cloud: Driving digital transformation
• MuZero, AlphaZero, and AlphaDev: Optimizing computer systems
• AlphaDev discovers faster sorting algorithms
• An early warning system for novel AI risks
• DeepMind’s latest research at ICLR 2023
• How can we build human values into AI?
• Announcing Google DeepMind
• Competitive programming with AlphaCode
• AI for the board game Diplomacy
• Mastering Stratego, the classic game of imperfect information
• DeepMind’s latest research at NeurIPS 2022
• Building interactive agents in video game worlds
• Benchmarking the next generation of never-ending learners
• Best practices for data enrichment
• The pursuit of AI education—past, present, and future
• Stopping malaria in its tracks
• Measuring perception in AI models
• How undesired goals can arise with correct rewards
• Discovering novel algorithms with AlphaTensor
• Fighting osteoporosis before it starts
• Understanding the faulty proteins linked to cancer and autism
• Supporting the next generation of AI leaders
• Solving the mystery of how an ancient bird went extinct
• Building safer dialogue agents
• Targeting early-onset Parkinson’s with AI
• How our principles helped define AlphaFold’s release
• Maximising the impact of our breakthroughs
• My journey from DeepMind intern to mentor
• In conversation with AI: building better language models