127 summarised stories about Scientific Research, each linking back to the original source. Browse all topics →
Ars Technica 2 months ago 47
Researchers used AlphaFold to identify regions of gene-editing proteins that cause off-target DNA edits, then modified those regions to reduce errors. The modified proteins showed improvements in specificity compared to original versions. This approach could make gene-editing therapies safer by reducing the risk of unintended genetic changes in treated cells.
The Verge 2 months ago 55 ● 19 sources
The Trump administration announced $5 billion in Genesis Mission grants for AI-driven science projects and outlined a science policy prioritizing artificial intelligence, robotics, and nuclear energy while downplaying life sciences. The funding will support hundreds of AI projects through grants that the White House compared to the Manhattan Project in scale and urgency. This marks a significant shift in U.S. scientific priorities toward AI and away from traditional life sciences research.
Allen Institute (AI2) 2 months ago 30 ● 75 sources
Ai2 argues that open-weight AI models with publicly available training data, code, and evaluation details are essential for scientific progress and public understanding of AI systems. The organization has released fully transparent models like Olmo that enable independent researchers at universities and nonprofits to investigate model behavior, study bias, and test safety claims without relying on corporate assurances. Open science infrastructure maintains broader participation in AI research and prevents technical direction from concentrating solely within large companies.
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16 October 2026
The biggest thread today is that “agentic AI” is getting practical through layers that control what models know, how they reason, and what they’re allowed to do with that knowledge. Raymond James Financial is using knowledge graphs as a reasoning layer for agentic systems built over trusted financial data, with evaluations against “golden sources” and a claim of 100% accuracy before launch—an explicit bid to move advisors from manual screen-hunting to supervising AI agents. Uvi’s pitch is similar in spirit but aimed at cost: it says semantic, permissioned company knowledge graphs can cut per-answer tool/context costs from roughly $0.75–$1.41 (sometimes over $2.00) down to $0.10–$0.16 by avoiding repeated “amnesia”-style re-collection from Slack, Jira, and GitHub.
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