Happy to finally share our work from UNM Health Sciences showing an instance where gene knockout in the brain *enhances* certain aspects of learning! biorxiv.org/content/10.110…

Join #RSECon24 for a global conversation on Research Software Engineering #RSEng

"In addition to workshop sessions which have directly benefited my day-to-day work, I met tons of potential collaborators many of whom I now work with to deliver new software training with tools I discovered at RSECon" says Dimitrios Theodorakis, RSE at Met Office #RSECon24

I can't help but smiling about this cartoon abstract from ErrantScience about my #RSCposter2024 linkedin.com/posts/errantsc…

Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs

🎉 The call for submissions to #RSECon24 is now open! 🎉 We need your ideas to help us build an accessible, celebratory, and outward-looking conference programme. Submit proposals before 1 May and be part of the best RSECon yet! Learn more at rsecon24.society-rse.org/calls/submissi…

ICYMI the call for submissions to #RSECon24 is now open! 🎉 We are also calling for reviewers to help us build the best possible programme. If you want to contribute to the success of RSECon and can spare a little time for reviews, sign up by 30th April🙌 rsecon24.society-rse.org

Would you like to help make #RSECon24 the best yet? Want to expand your network in the RSE community? Want to attend the conference and social events FOR FREE? Answer our call for volunteers, open now until 14th June! 👉rsecon24.society-rse.org/calls/voluntee…

I believe this rumor, since we've published two papers showing agents doing tasks better than PhD students in literature research, writing Wikipedia articles, and manipulating DNA. Wish we had better PR though😅

Introducing NextGenAI—a first-of-its-kind consortium uniting 15 leading institutions using AI to advance research and education, founded with $50M in funding and tools from OpenAI. openai.com/index/introduc…

𝗡𝗼𝘃𝗼 𝗡𝗼𝗿𝗱𝗶𝘀𝗸’s journey in ontology-based data management (OBDM) showcases how a unified model can 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗵𝗲𝘁𝗲𝗿𝗼𝗴𝗲𝗻𝗲𝗼𝘂𝘀 𝗥&𝗗 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲𝗱, 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝗮𝘀𝘀𝗲𝘁. With data scattered across multiple systems

I'm rebooting 𝗔𝗥𝗜𝗔 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁, my open-source AI plugin for Zotero! ARIA enhances your Zotero experience with Generative AI capabilities. One of the new features is 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 powered by 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀. For example, the

AI agents break complex challenges into bite‑sized steps—ideal for tedious R&D tasks such as patent analysis, helping scientists avoid infringement, redundant work, wasted resources, missed opportunities, and competitive blind spots. Read more: apex974.com/articles/ai-ag…

#ICLR2025 showed LLMs aren’t just answering chemistry questions—they're orchestrating full discovery workflows as AI agents: 🛠️ LLMs plan and sequence tasks, not just generate answers. 🧪 They ground reasoning in chemistry context—structures, databases, literature. 🔄 They

Really happy to announce this today! We're launching a free platform and API to use our scientific agents for discovery 🔥

𝗚𝗿𝗲𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗶𝗻 𝗮 𝘀𝘁𝗿𝗼𝗻𝗴 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗮𝗹𝗸—𝗮𝗻𝗱 𝗻𝗼𝘄 𝗔𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽. New research shows that large language models (LLMs) can accurately assess a scientific presentation using just the opening minutes. Why does that matter?

We're launching an agent that can do bioinformatics analysis, including repeating analysis from research papers. It is multimodal and results in a complete jupyter notebook (python or R) that ends in a concrete conclusion. Starting with closed-beta now

🚀 Turning FAIR Data Principles into Practice in R&D Making data Findable, Accessible, Interoperable, and Reusable (FAIR) is a necessity for modern R&D teams navigating digital transformation. But the gap between principle and practice is still real. A recent study in Chemical

ChatGPT may be too risky for regulatory affairs. So is AI off the table? A recent post by Lauren Quinn caught my eye: a regulatory team leaned on ChatGPT for an OTC drug assessment—and got burned. It’s a timely reminder that generative AI should be used with caution when

I've had trouble using the ChatGPT Agent for chemistry-related tasks without triggering a "usage policy" violation. Usually this happens after the agent has been working on a task for a while. Any tips?