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Microsoft Research

Making pathology foundation models practical at scale Broadening access to Skala creates a faster path to predictive DFT MindTopo puts AI's spatial reasoning to the test A new approach to radiology AI Orchard: An open framework for scalable agentic AI Deep, evolving environments for computer-use agents EvoLib: Teaching LLMs to learn from experience Scaling cryptographic verification to boost computer security Aurora 1.5: Extending open foundation models for weather and Earth-system applications - Microsoft Research AI can generate Charts. Flint helps generate better ones. SkillOpt turns AI agent skills into trainable assets Memora scales agent memory to boost long-horizon productivity Turning brain prediction models into testable explanations Talos brings continuous genomic reanalysis to nearly 5,000 unsolved cases Ire identifies another LOTUSLITE specimen Data Formulator 0.7: AI-powered data analytics for enterprise data Extending Human Intelligence Through AI MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models Vega: Zero-knowledge proofs for digital identity in the age of AI Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability mimalloc: A new, high-performance, scalable memory allocator for the modern era GridSFM: A new, small foundation model for the electric grid Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests Building realistic electric transmission grid dataset at scale: a pipeline from open dataset - Microsoft Research Microsoft at NSDI 2026: Advances in large-scale networked systems Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale AutoAdapt: Automated domain adaptation for large language models New Future of Work: AI is driving rapid change, uneven benefits Ideas: Steering AI toward the work future we want
Can we AI our way to a more sustainable world?
Doug Burger, · 2026-04-21 · via Microsoft Research
Doug Burger, sustainability expert Amy Luers, and optimization researcher Ishai Menache examine the global emissions implications of datacenter operations, efficiency gains, and AI's potential across electrification, materials, and food systems. The post Can we AI our way to a more sustainable world? appeared first on Microsoft Research .