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!
Igor Mordatch
@IMordatch
Research scientist @DeepMind and lecturer @UCBerkeley. Interested in AI/education/visual art/nature. Previously @OpenAI and @UCBerkeley.
Oakland, CA
Joined April 2020
- 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
- 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/dataviz_…
