
Microsoft Research
@MSFTResearch • 554,764 subscribers
We advance science and technology to benefit humanity.
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New tools, models, repos, and papers out of Microsoft Research are here. Use AI and agents? It's worth watching: • MagenticLite from MSR AI Frontiers • Agentic GitHub workflows • Verification‑first agents • Meaning‑matching fine‑tuning • AI transition + the economy
Microsoft Research3,447,138 просмотров • 3 месяцев назад

AI is transforming the way we all live, work, and think. Join us for Microsoft Research Forum, where you'll learn about the most recent advances and hear bold new ideas from the global research community. See you on June 4 for Episode 3. Register now.
Microsoft Research22,477,328 просмотров • 2 лет назад

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.
Microsoft Research25,995 просмотров • 1 месяц назад

Small language models learn to negotiate with SocialRL, PazaBench V2 expands speech AI evaluation across African languages, and EvoLib helps agents turn experience into knowledge. Plus: new methods for more reliable A/B testing and advances in AI-driven precision oncology.
Microsoft Research19,104 просмотров • 1 месяц назад

The wait is over! Microsoft Research is sharing Skala, the new exchange-correlation functional, marking a major milestone in the accuracy/cost trade-off in DFT. Help us learn from your testing so we can improve. Available on Azure AI Foundry and GitHub.
Microsoft Research127,370 просмотров • 11 месяцев назад

Today, we welcome the 2026 Microsoft Research Fellowship cohort, an inspiring global community of fellows and advisors helping to shape what’s next across science, technology, and society. Join us in celebrating this year’s recipients: These contributions span the following themes: • AI for global and societal impact • AI fundamentals: scalable reasoning, model adaption and evaluation • Biological and scientific modeling • Foundational systems & infrastructure for AI • Human-AI collaboration and interaction • Multimodal & embodied intelligence
Microsoft Research49,992 просмотров • 4 месяцев назад

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:
Microsoft Research20,451 просмотров • 2 месяцев назад

Microsoft researchers release bitnet.cpp, the official inference framework for 1-bit LLMs like BitNet b1.58. It has optimized kernels for fast, lossless inference on CPUs, achieving impressive speedups on ARM and x86 CPUs and significant energy reductions.
Microsoft Research75,161 просмотров • 1 год назад



