Research scientist @DeepMind and lecturer @UCBerkeley. Interested in AI/education/visual art/nature. Previously @OpenAI and @UCBerkeley.
Oakland, CA
Joined April 2020
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Igor Mordatch retweeted
We asked #Gemini 4 Argon to explain how it figured out how to play cornhole with @Apptronik's Apollo - here it is in its own words 🤯. This is transformative for Physical AI 🦾.
Try it yourself at : lnkd.in/g9WyK_CC
Learn more: lnkd.in/gX9NeEjx
@GoogleDeepMind #Robotics
Igor Mordatch retweeted
Most important, we want to get this model into as many scientists’ hands as we can.
Today, we’re announcing that 10,000 scientists will get the highest usage tier access to Gemini 4 Argon in Google @antigravity free of charge for 6 months.
Apply here: forms.gle/WvmBbPvRbpKG1BPn9
Argon is very capable model for agentic robotics use cases. We've put together number of examples across control, sim from real, value prediction, hindsight labeling, etc: developers.googleblog.com/ge… Excited for folks to try it.
Igor Mordatch retweeted
12 SO-101 robot arms for my robotics class 🤖
Last year, students built their SO-101s from scratch. This year, with help from our TA @ZQ_fantastic, we handed out 12 pre-built arms so they can jump straight into arm calibration!
More time for robots!
Delighted by the evaluations @chooi_jeq and @robocurve have been doing over the past months. It would have been so audacious to ask this of general-purpose models running on someone else's robots a year ago, but now we can...Just try it?! Glad this initiative is happening.
Igor Mordatch retweeted
One brain. For any robot. 🤖
We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.
A dataset of over a thousand solid-state synthesis results conducted by an autonomous lab. Thank you for sharing this great resource with the community! arxiv.org/abs/2607.09903
Igor Mordatch retweeted
Our team at DeepMind is growing.
We've assembled a world class physics+material science team and are building an experimental lab.
If you want to solve real problems at the intersection of AI + material science to unlock a technological revolution - this is the place. Apply 👇
Igor Mordatch retweeted
AI has the potential to compress the time needed for new discoveries from years to days. 📉
That’s why we’re supporting the US Dept. of @ENERGY's Genesis Mission – providing National Labs with access to AI tools to help accelerate research in physics, chemistry, and beyond. → goo.gle/4s0Bujw
Exciting times ahead! bloomberg.com/news/articles/…
Igor Mordatch retweeted
Gemini Nano Banana Pro can solve exam questions *in* the exam page image. With doodles, diagrams, all that.
ChatGPT thinks these solutions are all correct except Se_2P_2 should be "diselenium diphosphide" and a spelling mistake (should be "thiocyanic acid" not "thoicyanic")
:O
Excited to be at NeurIPS in San Diego from Thursday to Saturday next week! If you want to chat about AI for accelerating science (esp. materials), multi-modality, robotics, or intersections of these things, please reach out!
Excited that Gemini 3 is finally out! Visual perception is particularly improved in this version and I'm excited to see all the downstream effects of that.
We’ve been intensely cooking Gemini 3 for a while now, and we’re so excited and proud to share the results with you all. Of course it tops the leaderboards, including @arena, HLE, GPQA etc, but beyond the benchmarks it’s been by far my favourite model to use for its style and depth, and what it can do to help with everyday tasks.
Humans benefit from visualizing data. Do AI models need visualization too, or can they just take in raw data text? A fun study co-made with Claude to answer this question. Conclusion: it seems like AI currently benefits from looking at data visualizations! mordatch.github.io/posts/dat…
See blog post for more details mordatch.github.io/posts/dat… View and download the dataset of csv, visualizations, and questions to try it yourself here: huggingface.co/datasets/imor…. And here is a Claude transcript for the entire project: claude.ai/share/ca4da6ab-189…