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Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictiv…
Microsoft ResearchPublished Aug 21, 2026
Official source · Microsoft ResearchVerified Aug 30, 2026
Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared…
Microsoft ResearchPublished Aug 4, 2026
Official source · Microsoft ResearchVerified Aug 30, 2026
AI agents often fail because their instructions, or skills, are manually modified with no guarantee of improvement. Learn how SkillOpt turns skill editing into a training process, making agent behavior more reliable without changing model weights. The post SkillOpt: Agent skills as trainable parameters appeared first…
Microsoft ResearchPublished Jul 1, 2026
Official source · Microsoft ResearchVerified Aug 30, 2026
Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping them improve as the tasks, tests, and environments evolve. The post Echoverse: Deep, evolving environments for computer-…
Microsoft ResearchPublished Jul 31, 2026
Official source · Microsoft ResearchVerified Aug 30, 2026