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Google DeepMind invests $75 million in indie film studio A24 to develop AI tools for filmmaking, partnering with artists to integrate AI into Hollywood production.
Google DeepMind and A24 announce a first-of-its-kind research partnership to develop AI tools and workflows for filmmakers, ensuring creators shape the technology of the future.
Nobel Prize winner John Jumper is leaving Google DeepMind to join Anthropic, marking a significant talent move in the AI industry.
Google DeepMind introduces its AI Control Roadmap, a framework for building and managing advanced AI to ensure it behaves as intended.
Google DeepMind released the Gemma 4 series of open-weight models, covering four sizes from 2B to 31B, supporting 128K–256K context, reasoning, and function calling, under Apache 2.0 license, and equipped with ADK framework for autonomous agent capabilities.
An article discussing a significant loss or setback for Google DeepMind.
Anthropic CEO Dario Amodei and Google DeepMind's Demis Hassabis called for a U.S.-led international coalition to set AI rules and standards during a closed-door meeting with G7 leaders and tech executives at the G7 summit.
Qx Dong has joined Google DeepMind as a research scientist to work on Gemini post-training, expressing excitement about the team and the work.
A Google DeepMind research report explores the transition from human-level artificial general intelligence (AGI) to artificial superintelligence (ASI), discussing potential pathways such as scaling, paradigm shifts, recursive improvement, and multi-agent collectives, as well as bottlenecks and open research questions.
DeepMind's TacticAI, a system for analyzing football tactics, is published in Nature Communications, with potential applications in robotics and computer games due to its handling of partial observability and multimodal data.
TacticAI uses graph neural networks to represent players as nodes and their interactions as connections, allowing data scientists to test defensive setups by dragging and dropping players in real time.
Google DeepMind, together with Schmidt Sciences, ARIA, the Cooperative AI foundation, and Google.org, has launched a $10 million funding initiative to research the safety of multi-agent AI systems, aiming to prevent risks such as scams, prompt injections, and cyberattacks as AI agents become widespread.
Google DeepMind's latest research explores how AI can support educators in Sierra Leone, where a growing student population outstrips available teachers, aiming to amplify teachers' reach without replacing their expertise.
vLLM announces native support for Google DeepMind's DiffusionGemma, a 26B discrete diffusion language model that generates 256-token blocks in parallel, enabling low-latency inference at 1200+ tok/s on a single H200.
NVIDIA optimizes Google DeepMind's DiffusionGemma, an open model that generates text in parallel 256-token blocks, achieving up to 4x faster performance on local RTX GPUs, DGX Spark, and DGX Station systems.
DiffusionGemma is a new experimental model from Google DeepMind that uses parallel generation on a 256-token canvas, achieving up to 4x faster token generation on GPUs. This developer guide explains its architecture, bidirectional context, and includes a fine-tuning recipe for solving Sudoku.
Google DeepMind released DiffusionGemma, an open experimental model that generates text in blocks rather than word-by-word, enabling self-correction and faster output.
Unsloth releases GGUF quantizations of Google DeepMind's DiffusionGemma (26B-A4B), a new block-diffusion architecture for faster text generation, ready for llama.cpp.
Google DeepMind announces Live Translate, a feature that converts speech into over 70 languages in real-time while preserving tone, pace, and pitch for more natural conversations.
Google DeepMind launches a three-month accelerator program for European robotics startups, providing mentorship and technical support to integrate AI into their products.