AI weather models have made rapid progress in forecast quality, but the next challenge is turning better forecasts into better decisions. Aurora 1.5 extends the Aurora foundation model with 22 new variables, hourly resolution, and probabilistic forecasting — making it more practical for real-world use across areas that include energy, agriculture, transport, and climate resilience. Just as important, it remains open: a platform for the global community to evaluate, extend, and build on as AI weather models move closer to broader Earth-system applications. https://msft.it/6044vInG2
Microsoft Research
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At Microsoft Research, we accelerate scientific discovery and technology innovation to empower every person and organization on the planet to achieve more. We do this by bringing together the best minds across diverse disciplines and backgrounds to take on the most pressing research challenges for Microsoft and for society. Our Research Lens We consider research directions through the lens of the positive impact we aspire to create with and for customers, communities, and all of society.
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Microsoft Research reposted this
We hosted the Microsoft Research India Academic Research Summit last month (June 2026). This summit brought together over 70 invitees from academia --- faculty and students from across the country --- and members of Microsoft Research India for 2 intensive days of presentations, discussion, and brainstorming. I was genuinely impressed by the quality and breadth of work on display and personally learnt a lot. Summits such as this are just one of the many ways in which we engage with the ecosystem through open collaboration. We are pleased to make recordings of all the sessions available for anyone who is interested at https://lnkd.in/gCw-qDUp. We have also created a short, 5-minute video (https://lnkd.in/gHGwc_GS) to give you a sense of the event ambience and reactions from some of the participants. I would like to thank all the speakers and participants who helped make the summit a huge success. Special thanks to my colleague, Srinivasan Iyengar, who drove the planning and organization of the summit, Vyshak Jain K V, who led the curation of the recorded content, and the team who worked tirelessly in putting together this event.
Microsoft Research India Academic Summit 2026 - About the event
https://www.youtube.com/
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Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a middle path, letting AI agents create expressive charts from compact, human-editable specifications. https://msft.it/6043vxmiU
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In this issue: Microsoft is proud to sponsor The International Conference on Machine Learning (ICML). More than 100 papers from Microsoft have been accepted at this year's conference in Seoul, Korea, along with three oral presentations and one expo demonstration. EXPO DEMONSTRATION: Fara 1.5 – A Family of Computer Use Agents – High performance, cost-effective computer-use agents capable of running on-device or modest hardware. ORAL PRESENTATION: Benchmarking at the Edge of Comprehension – Critique-Resilient Benchmarking is a framework for comparing models even when humans cannot fully understand the tasks or solutions. ORAL PRESENTATION: FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications – FLIP2 extends the original FLIP benchmark by adding seven new datasets covering a broader range of protein engineering tasks. ORAL PRESENTATION: Understanding Reasoning Collapse in LLM Agent Reinforcement Learning – A new filtering method preserves input-specific reasoning and improves agent stability and performance in closed-loop multi-turn agent reinforcement learning.
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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: https://msft.it/6040vsvEq
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AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved: https://msft.it/6049vs3gh
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What do people actually do with AI at work? A new analysis of five million M365 Copilot conversations has answers. Scott Counts breaks it down in a new video. And dive into the analysis here: https://msft.it/6044vUHsC
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Microsoft Research reposted this
In the Bay Area, The Garage has reopened with refreshed spaces, new experiences, and even more opportunities for team members to learn, build, and create together. Here’s a look at the moments that made the week one to remember.
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Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language. https://msft.it/6042vUtRe
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Talos was built to help resolve a major bottleneck in genomic medicine: human review time. The open-source system recovered 90% of in-scope diagnoses while surfacing just 1.3 candidate variants per patient for expert review. https://msft.it/6045vUBwz
