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Artificial Intelligence

Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.

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Microsoft Research Forum

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How ASHABot empowers rural India’s frontline health workers

AI Revolution podcast | Episode 0 - A brief introduction from Peter Lee | outline illustration of Peter Lee

The AI Revolution in Medicine, Revisited | Podcast series

Microsoft AI Economy Institute

Publication

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang

ICLR 2025 | February 2025

Publication

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

ICLR 2025 | February 2025

Github

Publication

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition

Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan (Jana) Kulkarni, Huseyin Inan

February 2025

Project

Microsoft Research Blog

ExACT: Improving AI agents’ decision-making via test-time compute scaling

February 11, 2025 | Baolin Peng, Xiao Yu, Hao Cheng, Michel Galley, Zhou Yu, Jianfeng Gao

ExACT combines Reflective-MCTS and Exploratory Learning to improve AI agents’ decision-making, enabling test-time compute scaling. Learn how these methods help agents refine strategies for state-of-the-art performance and improved computational efficiency.

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Podcast

Ideas: Building AI for population-scale systems with Akshay Nambi

February 10, 2025

Advances in AI are driving meaningful real-world impact. Principal Researcher Akshay Nambi shares how his passion for tackling real-world challenges across various domains fuels his work in building reliable and robust AI systems.