Artificial intelligence has rapidly transformed the medical field, with foundation models driving breakthroughs in natural language processing, computer vision, and multimodal learning. Medical scenarios often face challenges such as data scarcity, long-tailed tasks, and high accuracy requirements, making traditional approaches…
We live in a three-dimensional physical world, and Spatial Intelligence stands as a critical frontier in the evolution of AI, demanding not only a deep understanding of three-dimensional environments but also the capacity to act effectively within them. Unlike existing…
The brain is one of the most complex objects in the world. Although our research on the brain has been ongoing for thousands of years, there are still many mysteries about the human brain. The team hopes to conduct interdisciplinary…
NeurIPS上新 | 生成式AI与具身智能：从像素到物理世界的交互
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。 我们将通过四期“NeurIPS上新”，深入解读入选的研究工作，涵盖大模型架...
Reducing Privacy leaks in AI: Two approaches to contextual integrity
| Gbola Afonja, Huseyin Atahan Inan, Qingwei Lin 林庆维, Saravan Rajmohan, Robert Sim, Xiaoting Qin, Jue Zhang, and Lukas Wutschitz
New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds contextual awareness directly into models through reasoning and RL.
NeurIPS上新 | 大模型能力与对齐：迈向安全可靠的通用智能
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。 我们将通过四期“NeurIPS上新”，深入解读入选的研究工作，涵盖大模型架...
Awards | Optica
Francesca Parmigiani elected as a 2026 Optica Fellow
Fellows are Optica members who have served with distinction in the advancement of optics and photonics. Francesca was elected for her pioneering contributions to the field of high-speed optical communications and optical signal processing.
Fara-7B: An Efficient Agentic Model for Computer Use
| Ahmed Awadallah, Akshay Nambi, Alexey Taymanov, Aravind Rajeswaran, Corby Rosset, Hussein Mozannar, Spencer Whitehead, Vibhav Vineet, Yash Lara, Yash Pandya, and Andrew Zhao
Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems.
In the news | Venture Beat
Microsoft’s Fara-7B is a computer-use AI agent that rivals GPT-4o and works directly on your PC
Microsoft has introduced Fara-7B, a new 7-billion parameter model designed to act as a Computer Use Agent (CUA) capable of performing complex tasks directly on a user’s device. Fara-7B sets new state-of-the-art results for its size, providing a way to…