AI for Science refers to the application of machine learning methods to accelerate scientific discovery and research workflows across academic and industrial laboratories. Truncated covers research papers, computational biology tools, materials discovery models, and laboratory automation updates.
AI-generated summary Science's Last Exam is a new benchmark where an AI agent receives a research goal and tools to pick methods, run experiments, and receive grades from hidden checks. The tasks span nine disciplines built by researchers from Harvard, MIT, Stanford, Oxford, Princeton, and Oak Ridge, with a wet-lab round planned next.
AI-generated summary A new benchmark called Into the Unknown tested nine AI agents on open research questions from US national labs. The authors report that none of the 135 submissions met all requirements and expert standards.
AI-generated summary Conservation organizations are adopting artificial intelligence to monitor wildlife and process environmental research despite concerns regarding the technology's growing energy and water demands. Groups such as the Jane Goodall Institute and Save the Elephants report significant efficiency gains from using technology from Amazon Web Services and Nvidia, while Greenpeace remains skeptical.
AI-generated summary Evaxion A/S presented data at the Society for Immunotherapy of Cancer showing a 75% objective response rate for its personalized peptide cancer vaccine EVX-01 combined with Merck's pembrolizumab in advanced melanoma patients. Senior Scientist Mads Lausen of Evaxion presented systemic immunomodulatory findings examining how EVX-01 reshapes the immune system to support ongoing durability.
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