Releases

Google DeepMind introduces Genie, a generative interactive environment model trained from unlabelled internet videos.

Google Cloud launches Gemini Code Assist, evolving Duet AI for Developers into a Gemini-powered coding assistant.

Google releases Gemma 2B and 7B open models with weights and responsible AI tooling.

Google DeepMind introduces Gemini 1.5 Pro with a mixture-of-experts architecture and a one-million-token context window.

Gemini 1.0 Ultra becomes available to consumers through the new Gemini Advanced subscription.

Google renames Bard to Gemini, launches the Gemini mobile experience and introduces Gemini Advanced with Ultra 1.0.

Google Cloud and Samsung announce deployment of Gemini Pro and Imagen 2 for Galaxy AI features, while Gemini Nano powers on-device experiences.

Google Research introduces AMIE, a research AI system optimized for diagnostic medical dialogue.

Google makes Imagen 2 available to Cloud customers through Vertex AI for enterprise image generation.

Google launches AI Studio as a browser-based workspace for prototyping prompts and building with the Gemini API.

Google releases the Gemini API through Google AI Studio and Vertex AI, giving developers access to Gemini Pro.

Google Cloud announces TPU v5p, a large-scale accelerator system for training foundation models.

Gemini 1.0 Nano launches for efficient on-device AI, initially on Pixel hardware.

Gemini 1.0 Pro launches in Bard and for developers as the balanced model in the initial family.

Google DeepMind launches Gemini 1.0 in Ultra, Pro and Nano sizes as its first natively multimodal foundation-model family.

Gemini 1.0 Ultra is introduced as the largest and most capable initial Gemini model.

Google DeepMind reports that GNoME identified 2.2 million new crystal structures, including hundreds of thousands of stable candidates.

Google DeepMind and YouTube introduce Lyria alongside experimental music-generation tools Dream Track and Music AI Tools.

Google DeepMind publishes GraphCast, a machine-learning model for fast, accurate medium-range global weather forecasts.

Google agrees to invest up to $2 billion in Anthropic, deepening a strategic AI partnership that also includes Google Cloud infrastructure.

Google DeepMind publishes AlphaMissense predictions for the effects of millions of human missense variants.

Google DeepMind and Google Cloud introduce SynthID for imperceptibly watermarking and identifying AI-generated images.

Google Labs begins early access to NotebookLM, an AI notebook grounded in users' selected source material.

Google Cloud launches Model Garden to discover, customize and deploy Google and third-party foundation models.

Google launches PaLM 2, improving multilingual, reasoning and coding capabilities across Google products and Cloud.

Google combines the DeepMind and Google Brain teams into a single unit, Google DeepMind, led by Demis Hassabis.

Google begins opening Bard access in the United States and United Kingdom as an early generative-AI experiment.

Google Cloud announces generative AI capabilities in Vertex AI and Generative AI App Builder for enterprise customers.

Google announces Bard, a LaMDA-powered conversational AI service, for trusted testers ahead of public access.

Google Cloud and Anthropic announce a strategic partnership covering cloud infrastructure, AI accelerators and responsible development of large AI systems.

Google Research introduces MusicLM, a hierarchical text-to-music generation model for high-fidelity audio.

Google Research presents Med-PaLM, adapting PaLM to medical question answering and clinical knowledge benchmarks.

Google Research introduces AudioLM for generating long-term coherent, high-fidelity audio from discrete representations.

The AlphaFold database expands to predicted structures for nearly every catalogued protein known to science.

Google Research introduces Imagen, a text-to-image diffusion model emphasizing photorealism and language understanding.

Google Research introduces the 540-billion-parameter Pathways Language Model and reports strong few-shot performance across hundreds of tasks.

DeepMind and EMBL-EBI launch a freely accessible database of AlphaFold protein structure predictions.

DeepMind publishes AlphaFold 2's methodology and releases source code, expanding access to high-accuracy protein prediction.

Google announces fourth-generation TPU pods for large-scale machine-learning training.

Google Cloud launches Vertex AI as a unified platform for building, deploying and operating ML models.

Google introduces LaMDA as a conversational language model designed for open-ended dialogue.

DeepMind publishes MuZero, which plans using a learned model without being told the environment's underlying rules.

AlphaFold 2 demonstrates accuracy competitive with experimental structures at CASP14, marking a major protein-folding breakthrough.

Google researchers publish the T5 approach and Colossal Clean Crawled Corpus, framing diverse NLP tasks in one text-to-text format.

Google releases MediaPipe as a cross-platform framework for building perception and multimodal ML pipelines.

DeepMind's first AlphaFold system achieves top performance in the CASP13 protein-structure prediction assessment.

Google Research releases JAX for composable automatic differentiation and accelerator-backed numerical computing.

Google open-sources BERT, enabling bidirectional pre-training for language understanding and downstream NLP tasks.

DeepMind publishes AlphaZero, a general self-play reinforcement-learning system for multiple board games.

Google researchers introduce the Transformer architecture, replacing recurrence with attention and reshaping modern sequence modeling.