GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
| Hoifung Poon, Jeya Maria Jose Valanarasu, Naoto Usuyama, and Sheng Wang
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
What’s next in AI?
What’s next in AI for 2026? Microsoft researchers share what they expect, from adaptive robotics to agent‑native economies. Explore the areas of innovation set to define the next chapter.
Agentic AI marks a shift from passive systems to active collaborators—AI agents that engage in sustained reasoning, understand complex multimodal environments, and interact naturally with humans over extended time and contexts. Our vision is to build intelligent systems that participate…
As large language models and other large-scale AI technologies advance rapidly, we are witnessing a profound societal transformation. These models not only possess general-purpose capabilities—excelling at tasks such as translation, question-answering, and programming—but in many scenarios perform at a level…
In the news | Microsoft Blog
10 Scientific breakthroughs from Microsoft researchers
As AI becomes a bigger part of everyday life, scientists are finding exciting new ways of harnessing its transformative power to tackle some of society’s biggest challenges. From designing new materials to mapping flood risks through clouds, Microsoft researchers are using…
NeurIPS上新 | AI创新应用：驱动科学发现与垂直领域突破
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉。 全球顶级人工智能盛会 NeurIPS 2025 即将拉开帷幕。在本届大会上，微软亚洲研究院共有30多篇论文被接收。这些研究涉及从大模型基础理论到前沿应用的各个方面。 我们通过四期“NeurIPS上新”，深入解读入选的研究工作，涵盖大模型架构...
Ideas: Community building, machine learning, and the future of AI
| Jenn Wortman Vaughan and Hanna Wallach
As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hanna Wallach reflect on WiML’s evolution, navigating the field of ML, and their work in responsible AI.
In the news | LinkedIn Article
Introducing TEMPO: AI model for dynamic building density and height mapping
With our partners at Planet, our team has developed TEMPO, an AI model that estimates building density and height from Planet's satellite imagery for every place on Earth, every three months!
If the profound challenges and opportunities that AI brings to modern computing infrastructure excite you, particularly through the coordinated integration of systems and networking, we sincerely invite you to apply to the Microsoft Research Asia StarTrack Scholars Program. Applications are…