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Microsoft Research Blog

Multimodal reinforcement learning with agentic verifier for AI agents 

January 20, 2026 | Reuben Tan, Baolin Peng, Zhengyuan Yang, Oier Mees, and Jianfeng Gao

Argos improves multimodal RL by evaluating whether an agent’s reasoning aligns with what it observes over time. The approach reduces visual hallucinations and produces more reliable, data-efficient agents for real-world applications.

In the news | Ragon Institute

Ava Amini and collaborators receive Bits to Bytes grant 

January 20, 2026

The project represents a significant step forward in understanding immune responses at the tissue level. By generating and analyzing large datasets using artificial intelligence and machine learning, the team will develop tools to measure and predict how immune cells interact…

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Articles

Phi-Ground: Improving how AI agents navigate screen interfaces 

January 18, 2026

Imagine an AI assistant that can navigate a computer the same way humans do—clicking buttons, filling out forms, and moving between applications—all by simply interpreting what's on the screen. This vision is becoming a reality through computer use agents—AI systems…

A flowchart with three horizontal sections on a blue-to-green gradient background. The first section, labeled “Classification,” shows icons of a computer, an arrow pointing to a robot face, and another arrow pointing to a box labeled “TSP.” The second section, labeled “Inference,” displays a robot icon connected by arrows to two document icons, one of which includes a magnifying glass. The third section, labeled “Test-time scaling,” shows a document with a checkmark connected by an arrow to a circular refresh icon. Arrows indicate the flow between sections, starting from Classification to Inference and then to Test-time scaling.
Microsoft Research Blog

OptiMind: A small language model with optimization expertise 

January 15, 2026 | Xinzhi Zhang, Zeyi Chen, Humishka Hope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, and Sirui Li

OptiMind is a small language model that converts business operation challenges, described naturally, into mathematical formulations that optimization software can solve. It reduces formulation time & errors & enables fast, privacy-preserving local use.

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Articles

AI Next 播客 S1E4 | 对话韦福如:人工智能的下一代前沿——科学规模化与学习范式的革命 

January 15, 2026

《AI Next》是微软亚洲研究院推出的一档利用 AI 技术制作的播客,内容聚焦 AI 前沿技术、科研趋势与社会影响。第一季主要围绕当今智能发展的核心议题,探索前沿趋势。 在《AI Next》第四期中,我们邀请到微软亚洲研究院首席科学家韦福如,从第一性原理出发,与大家探讨当前 AI 发展中最核心、具有争议的前沿问题。为何 Scaling 仍是 AI 的第一性原理,但必须走向“科学规模化”;为什么...

In the news | Time

Why Aren’t We Using AI to Advance Justice? 

January 15, 2026

In Malawi, one in three women is a victim of violence. Almost one in ten girls is forced into marriage before turning 15. But fewer than 800 lawyers serve the population of 22 million. What chance does a girl in a rural…

In the news | Microsoft Spotlight on AI

What it means to be human in the age of AI 

January 15, 2026

We’re opening the year with something meaningful: the first book from the AIEI Research Fellows. Degrees of Change comes from the Microsoft AI Economy Institute (AIEI), a research initiative that studies the economic and educational shifts happening alongside AI and…

Jing Liu
Articles

刘璟:在系统建造者时代,让计算基础设施实现“自我进化” 

January 14, 2026

编者按:如今,大模型和生成式人工智能的爆发正把计算推向前所未有的复杂境地:硬件以惊人的速度迭代,应用负载瞬息万变,而传统系统却仍被束缚在过往的固化规则中。面对这种“上下皆动”的挑战,刘璟和同事正试图在人工智能的不可预测性与系统的刚性之间,为操作系统注入全新的自主适应能力。 在计算机科学的世界里,系统一直扮演着沉默的基石角色,它托举着上层应用的高效运行,却深埋于底层硬件的复杂逻辑之中。对微软亚洲研究...

On Second Thought with Sinead Bovell
Stories

On Second Thought 

January 14, 2026

On Second Thought is a video series built around the questions everyone’s asking about AI. With expert voices from across Microsoft, we break down the tension and promise of this rapidly changing technology, exploring what’s evolving and what’s possible.

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