Microsoft Research

Microsoft Research

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We advance science and technology to benefit humanity. http://microsoft.com/research

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For decades, a key question about the challenges of high-dimensional computation resisted proof. New research resolves the KLS conjecture, removing a major barrier to understanding the efficiency of randomized algorithms used throughout science and computing. msft.it/63326aakQa

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security: msft.it/63322atJ5m

Curious about a future in research? The Microsoft Research Undergrad Internship Program offers hands-on research experience, mentorship, & a chance to explore advanced study. Rising juniors & seniors can apply for 12-week internships in Redmond, NYC, or New England. Apply by Oct. 5: aka.ms/msr-ugrad

💭 What’s it like to spend a summer doing research at Microsoft? Matheus Kunzler Maldaner is an undergraduate research intern exploring agentic systems. Meet him in the first episode of our new series, Research | Start Here: Inside the Internship. ▶️

The best AI doesn't just scale, it adapts to the languages, cultures, people and communities it serves. Explore three playbooks created to help teams design, deploy, and evaluate AI systems with inclusivity in mind.

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The best AI doesn't just scale, it adapts to the languages, cultures, people and communities it serves. Explore three playbooks created to help teams design, deploy, and evaluate AI systems with inclusivity in mind.

View full thread

Reliable benchmarks are essential for advancing inclusive AI. By expanding language, geographic, and dataset coverage, PazaBench V2 provides a stronger foundation for researchers and practitioners developing speech technologies for historically underserved languages.

We’ve significantly expanded coverage to support: ● 22 additional languages, now reaching communities across 38 African countries ● 1 additional ASR model ● Coverage expanded to 11 datasets ● Nearly 2x more test samples for robust evaluation

These improvements make PazaBench one of the most comprehensive resources for assessing speech to text models across African languages and contexts. We’re grateful to everyone who’s submitted datasets for language evaluation, this update was made possible by you.

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: msft.it/6012vsvEs

msft.itSkillOpt turns AI agent skills into trainable assetsAI 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 behavio...