BioMysteryBench tests Claude on 99 real bioinformatics problems. Opus 4.6 solved 77% of human-solvable questions and some that experts could not.
Claude for Science. Thursday, November 12, at the Niels Bohr Institute, University of Copenhagen. In September, Anthropic reported that Claude agents found a CRISPR-like enzyme system in… | Jacob Langvad Nilsson | 17 comments
Claude for Science. Thursday, November 12, at the Niels Bohr Institute, University of Copenhagen. In September, Anthropic reported that Claude agents found a CRISPR-like enzyme system in bacteriophage DNA. Earlier in the same month, another AI lab said its model had settled a question about the Navier-Stokes equations, one of the seven Millennium Prize Problems. Results like these don't come from a lucky afternoon with a chatbot. They come from years of method development, careful engineering and building on the work that came before. What has changed is how much of that work a model can now take on, and the speed of which it does it. The latest models read the literature, write and run their own code, and work through a dataset for hours without losing track. In the enzyme case, hundreds of Claude agents searched DNA data for 21 hours and flagged a pattern nobody had asked them to look for. The method still has to be sound. But a researcher with a good question can now test far more ideas in a week than before. That is what we want to show. How researchers here set up their work so that stronger models can move it forward. The evening is about how the Danish science community uses Claude to drive new research and breakthroughs. Four STEM researchers from academia and industry each show one case. What they asked Claude, how they worked, what they found, and what failed. The room is part of it. Niels Bohr lectured in Auditorium A, and in the 1930s Heisenberg and Pauli sat in the front row. We will meet in this historical auditorium and get a glimpse of frontier scientific research using Claude. ▪️ Doors open 15:30, programme 16:00 to 19:00 ▪️ Four case studies from Danish research ▪️ 50 seats on the original wooden benches ▪️ Registration by approval Thanks to Daniel Murnane for making this happen. Thanks to the Niels Bohr Institute and the University of Copenhagen for having us. To Katrin Hjorth Thordardottir for logistics. And thanks to Anthropic and the Claude Community team, Martine N., Cassie Baquero Mayes, Chiara Massironi for your continued support. Link to sign up in the first comment below. We are still confirming speakers. Which researcher in Denmark should I talk to? | 17 comments on LinkedIn
Test Driving Claude Science
Anthropic released Claude Science today. I tried it out for an AIxBio literature review and for an analysis using the IUCN Red List API with R.
Claude Science (beta)
Claude Science is your AI workbench for scientific research. Works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.
Claude Science, an AI workbench for scientists
Claude Science integrates the tools researchers use most, produces auditable artifacts, and provides flexible access to computing resources.
Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.
Claude
Claude is Anthropic's AI, built for problem solvers. Tackle complex challenges, analyze data, write code, and think through your hardest work.
Claude discovers a novel enzyme system
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Claude for Life Sciences
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Agentic systems are adept at solving well-scoped, verifiable problems in computational biology
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Bring Claude's AI assistance to your browser. Ask questions, analyze data, automate tasks, and navigate sites in Chrome. Works with Claude Code and Desktop.
Introducing Claude Opus 4.6
claude-code/plugins/ralph-wiggum at main · anthropics/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo...