Claudio Fantacci

We’re making great progress with our Gemini Robotics work in bringing AI to the physical world - a critical aspect of AGI. As part of our next steps, super excited to announce our partnership with @BostonDynamics, combining our SOTA robotics models with their world-class hardware

📣MuJoCo announcement 📣 Thrilled to share that @GoogleDeepMind has unveiled MuJoCo-Warp at @nvidia's #GTC25! 🚀 We've expanded our open-source MuJoCo simulator with MuJoCo-Warp, leveraging NVIDIA’s Warp framework for incredible acceleration. This marks a significant step in making high-performance simulation more accessible.

We’ve always thought of robotics as a helpful testing ground for translating AI advances into the physical world. Today we’re taking our next step in this journey with our newest Gemini 2.0 robotics models. They show state of the art performance on two important benchmarks - generalization and embodied reasoning - which enable robots to draw from Gemini’s multimodal understanding of the world to make changes on the fly + adapt to their surroundings. This milestone lays the foundation for the next generation of robotics that can be helpful across a range of applications.

Massive achievement from our team! So proud! One of the most exciting project if been working on! Check out our videos and discover the capabilities of Gemini Robotics.

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

New research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) science.org/doi/10.1126/sc…

Gather-Attend-Scatter (GATS), a novel module that combines pretrained foundation models operating at different rates into larger multimodal networks. Paper: arxiv.org/abs/2401.08525

Increadibly proud for this work done with all my colleagues at @DeepMind. If you are a roboticist or an enthusiast, read the details at the link down below 👇

In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.

Football players can tackle, get up, kick and chase a ball in one seamless motion. How could robots master these motor skills? ⚽ We trained AI agents to demonstrate these agile behaviours using end-to-end reinforcement learning. Find out more: dpmd.ai/41N3CsM

I'm excited to announce that I've joined DeepMind! I'll be a research scientist in @OriolVinyalsML 's Deep Learning team.

We are looking to hire Research Scientists for our Long-term Strategy and Governance team at DeepMind! Deadline Aug 1. Please forward and apply: boards.greenhouse.io/deepmind/jobs/…

MuJoCo is fully open source! The fast, free physics simulator, designed for research, is now open for contributions. Browse, clone, and build from GitHub: dpmd.ai/mujoco-os More details ➡️dpmd.ai/open-sourcing-… #MuJoCo

Gato🐈a scalable generalist agent that uses a single transformer with exactly the same weights to play Atari, follow text instructions, caption images, chat with people, control a real robot arm, and more: dpmd.ai/Gato Paper: dpmd.ai/Gato-paper 1/

Thrilled to announce the launch of a new Alphabet company @IsomorphicLabs. Our mission is to reimagine the drug discovery process from first principles with an AI-first approach, to accelerate biomedical breakthroughs and find cures for diseases. Details: isomorphiclabs.com/blog

We’ve acquired the MuJoCo physics simulator (mujoco.org) and are making it free for all, to support research everywhere. MuJoCo is a fast, powerful, easy-to-use, and soon to be open-source simulation tool, designed for robotics research: dpmd.ai/mujoco-blog

Introducing RGB-Stacking, a new benchmark where the goal is to train a robotic arm - using reinforcement learning - to stack real objects of diverse shapes that elicit complex object dynamics: dpmd.ai/robotics-stack… Paper dpmd.ai/robotics-stack… Video dpmd.ai/robotics-stack… 1/

@elonmusk @newscientist @DeepMind Thanks Elon!

Putting the power of AlphaFold into the world’s hands | DeepMind deepmind.com/blog/article/p…

Il più grande contributo di un'intelligenza artificiale alla biologia - Il Post ilpost.it/2021/07/23/dee…