Meet Rosalind Workbench: Empowering every scientist to be their own research team | OpenAI Developers

How guided tasks, scientific viewers, and sequencing analysis help researchers follow a question from data to evidence.

Claude Team plan for scientists

Scientists at academic and nonprofit research institutions around the world can now get Claude at no cost to start. Shared projects, Claude Science, and admin controls at rates built for grant budgets. 1-seat minimum.

ltjed/freephdlabor

freephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem

How do LLMs affect writing? Talks by visitors to the AI STORIES project | UiB

The AI STORIES project is hosting a day of research talks focused on analysing AI-generated writing, with approaches ranging from the qualitative analysis of a professor of writing to large-scale computational analysis finding that prompting an LLM to edit a text to improve its grammar leads to significiant shifts in meaning.

98 out of 100. That's how many advanced maths problems current AI models managed to solve in an international benchmark in Leipzig. One of the two remaining problems? A simplified version of a… | Czech Technical University in Prague | 11 comments

98 out of 100. That's how many advanced maths problems current AI models managed to solve in an international benchmark in Leipzig. One of the two remaining problems? A simplified version of a combinatorics problem solved by researchers from the Faculty of Information Technology CTU in Prague. Alexander Clifton, Daniela Černá and Jan Volec, together with Bartołomiej Kielak from Universität Leipzig , found the solution to a simplified version of the long-standing open problem of breaking triples with permutations. The problem was later included among the 100 tasks used to test how today's AI models perform in advanced mathematics. While AI came remarkably close, this was one of the problems it couldn't solve on its own. A nice reminder that mathematical creativity and abstract reasoning still leave some room for humans. 🧠 🔗 Read the full story in the comments. | 11 comments on LinkedIn

AI-Assisted Tools in the CHI 2027 Papers Review Process: What They Do, What They Do Not Do, and How Humans Remain Responsible - ACM CHI 2027

AI-Assisted Tools in the CHI 2027 Papers Review Process: What They Do, What They Do Not Do, and How Humans Remain Responsible Authors: Anna Cox, Tony Tang, Thomas Kosch, Erin Solovey, Petra Isenberg, Regan MandrykDate: 2026-08-29 Introduction In our recent post explaining the CHI 2027 Papers review process, we said we would pilot several AI-assisted […]