Google DeepMind

We’re making robots more capable than ever in the physical world. 🤖 Introducing Gemini Robotics 1.5: a new family of models to enable robots to better reason, plan ahead, use digital tools like Google Search, and interact with humans. ⤵️ It’s made up of: 🔹 Gemini Robotics-ER 1.5: This acts as the system's high-level brain, helping it think, see and orchestrate tools. 🔹 Gemini Robotics 1.5: This is responsible for turning instructions into a robot's movements. It can generate an internal dialogue in natural language to improve how it moves. Our system can also transfer knowledge learned across different embodiments, helping them become smarter and more useful. This progress marks an important milestone towards solving AGI in the physical world. Find out why → https://lnkd.in/ecAqnSma

How can AI enhance the creative process of a world-renowned industrial designer Ross Lovegrove? 🎨 Here’s how Lovegrove Studio and Modem used our latest models to develop a new kind of chair. 🪑 We fed a vast archive of Ross’ sketches to our text-to-image model to generate ideas rooted in his design language. And with Gemini, he was able to add more details, before bringing it to life using 3D printing. ↓

Using Flow powered by Veo 3, Wonder Studios created a visual experience inspired by the song “Something in the Heavens,” performed by Lewis Capaldi.

I am proud to announce our collaboration with the African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE) to support talented young scientists across Uganda, Kenya, Rwanda, and Tanzania. Through access to our AI tools including AlphaFold and AlphaMissense, mentorship from our AlphaFold experts, and a dedicated regional symposium, we hope this partnership will enable the next generation of African scientific leaders to make new scientific breakthroughs that will benefit their communities. In particular, a key part of our partnership is focused on building research capacity to combat the urgent threat of AMR. I look forward to seeing how this collaboration will accelerate progress being made on this issue, as well as other critical health challenges in the region. Thank you again to everyone at ACE and our incredible teams at Google DeepMind who made this possible! Read more about this partnership below. #AIforGood #DeepMind #AlphaFold #GlobalHealth

You've been going bananas for image generation using Gemini 2.5 Flash. Watch our team react to a few different demos. 🍌 From isometric-style art to visual learning tools, there are countless ways to explore and build with Nano Banana. Thank you to Phillip Lippe, Naina Raisinghani, Xuhui Jia, Oliver Wang, Hansa Srinivasan, and Benigno Uria for taking part.

Building powerful AI requires robust safeguards. 🛟 That’s why we’re updating our Frontier Safety Framework to address potential harmful manipulation and evolving misalignment risks – so that we can continue to identify them and stay ahead of challenges. The path to beneficial AGI requires collaboration across industry, academia and government – as well as effective frameworks – to mitigate risks as we move forward. See the updates → http://goo.gle/3W1ueFb

We’re announcing a major advance in the study of fluid dynamics with AI. 💧 Alongside researchers from Brown University, New York University and Stanford University, our findings show how mathematicians can leverage AI for problems that demand unprecedented accuracy in the world of fluid motion. Mathematicians have long developed complex equations, but a foundational mystery is whether these can 'break', developing 'singularities' where they predict physically impossible, infinite values. These can help researchers identify fundamental limitations - paving the way to improving our understanding of the physical world. We’re excited for this work to usher in a new era of computer-assisted proofs, where AI tools can work alongside mathematicians. Find out more → https://goo.gle/46JvrXS

An advanced version of Gemini 2.5 Deep Think has achieved gold-medal level performance at the ICPC 2025 World Finals. 🏅 Here’s why this is important. ⬇️ The ICPC - International Collegiate Programming Contest is a prestigious coding contest where university students compete to solve challenging problems under time pressure. Competitive programming is a vital training ground for AI problem solving as it needs logical deduction, creative algorithm design and thorough execution. Gemini 2.5 Deep Think was able to solve 10 out of 12 problems, including Problem C, which no other university team tackled - enabling it to be ranked 2nd overall. This achievement shows how AI could act as a true problem-solving partner for programmers - and signals that in the near future, much smarter versions may help developers tackle complex engineering challenges. Find out more → https://goo.gle/4mlJjwg

We’re unveiling a new suite of AI features powered by our models in YouTube. Here’s what’s new. ⤵️ 📹 Generate clips from scratch with sound by using a custom version of Veo 3 Fast. Rolling out in 🇺🇲🇨🇦🇬🇧🇦🇺🇳🇿 📹 Add motion: make your photos move with Veo by applying a motion from another video - like a dance or a sports move. ✂️ Edit with AI: take your raw footage, and rearrange it into a compelling first draft with music 🎵, transitions 🎬, and even a voiceover 🗣️. 💬 Speech to song: transform dialogue from videos into a new soundtrack for your next Short - thanks to our music generation model Lyria 2. Coming soon to 🇺🇲 Available soon on Shorts and in the YouTube Create app in select markets. → https://goo.gle/4n66Rq3 #MadeOnYouTube

Delighted to share a new paper in Cell from our Google DeepMind Google Research collaboration with Profs José R Penadés and Tiago Costa at Imperial College London, demonstrating how AI can significantly accelerate biomedical discovery. When our teams first met, we found ourselves at a unique moment. Both our groups were on the cusp of breakthroughs unknown to the outside world. Our team Vivek Natarajan/ Juraj Gottweis had developed an AI co-scientist system designed to assist researchers by generating novel, impactful hypotheses. We wanted to test its potential on grand challenges for medicine like tackling antimicrobial resistance. Putting it into the hands of great scientists like Jose and Tiago was a perfect opportunity for this. Their group had a paper under peer review marking a pivotal milestone after many years of work. They reported proof of a novel mechanism for gene transfer through 'microbial piracy'. Their research revealed how mobile genetic elements "cf-PICIs" can hijack the tails from viruses to create hybrid particles, allowing them to inject DNA -- which can carry genes for antibiotic resistance -- into a wide range of bacteria, explaining how these dangerous traits spread so efficiently. This was the result of years of meticulous experimental work but the breakthrough insight had never been made public and was under confidential peer review. Since their ingenious discovery was unknown to the wider world, Jose and Tiago posed this original research question to the system. The results were astounding to all of us. After several days of work, not only did the AI co-scientist system recapitulate their core finding, but in the Cell paper, Jose and Tiago go into the details of four other ideas proposed by the system that they are now excited to explore further. I've had many amazing moments at Google DeepMind, but a great highlight was hearing Jose's response to these outputs. He asked if we had somehow managed to cheat the test and read his original manuscript—the ideas generated by the AI so closely matched the original and real discovery. It's an extraordinary privilege to work on AI systems with such a profound potential to super-charge science, not by replacing human insight, but by accelerating it. The true impact comes from collaborating with experts like Jose and Tiago to tackle grand scientific challenges. We're delighted to share authorship on our paper in Cell and am excited for the many more discoveries this technology will help enable. You can read our paper, "AI mirrors experimental science to uncover a novel mechanism of gene transfer crucial to bacterial evolution" , and the original experimental discovery from José R Penadés Tiago Costa in the same issue of Cell here: https://lnkd.in/edDed3Gv