News & features

MaaG:迈向世界模型,解决生成式游戏中的数值与时空一致性难题
世界模型(world models)是人工智能领域的一个重要概念,旨在通过模拟虚拟世界中主体行为的演变,实现高度逼真的互动体验。这种模型不仅可以为游戏和互动媒体的生成带来革命性的变化,也将为人工智能在复杂环境中的应用提供新的可能性。其中,生成式游戏(generative games)作为构建世界模型的关键途径,备受关注。例如,微软提出的 MUSE 能够用神经网络生成游戏《嗜血边缘(Bleeding…

Research Focus: Week of January 22, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Join Microsoft Research Forum (opens in new tab) for a continuous exchange of…

Research Focus: Week of January 8, 2024
| Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, and Furu Wei
Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access:

Research Focus: Week of October 23, 2023
In this issue: Kosmos-2.5: A Multimodal Literate Model; Can vine copulas explain complex relationships of weather variables; New system accelerates the adaptive training process; Structural inequalities and relational labor in the influencer industry.

Research Focus: Week of September 11, 2023
In this issue: Efficient polyglot analytics on semantic data aids query performance; generative retrieval for conversational question answering improves dialogue-based interfaces; a new tool uses ML to address capacity degradation in lithium-ion batteries.

Research Focus: Week of August 14, 2023
In this issue: HyWay enables hybrid mingling; Auto-Tables transforms non-relational tables into standard relational forms; training dense retrievers to identify high-quality in-context examples for LLM; improving pronunciation assessment in CAPT.

Research Focus: Week of May 8, 2023
In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.

Research Focus: Week of November 7, 2022
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei,…

Microsoft LReasoner leads the ReClor challenge on logical reasoning
| Natural Language Computing Group
For many years AI researchers have sought to build upon traditional machine learning, which trains technology to process facts and learn from them, and develop machine reasoning, in which programs apply logic to data and solve problems – comparable to…