For many years, Microsoft Research has empowered people with disabilities by creating leading-edge assistive technologies—from wheelchairs they can control with their eyes to AI-based tools they can train to find lost personal items. Learn more.
Intern Insights: Vaishnavi Ranganathan with Angela Busheska
| Vaishnavi Ranganathan and Angela Busheska
Undergrad Angela Busheska has a passion for sustainability. She talks with researcher Vaishnavi Ranganathan about the why behind her drive, the work she did at Microsoft on a platform for tracking land use, and her advice for making the internship…
In the news | Microsoft
The 2024 Microsoft Impact Summary
In our annual Impact Summary report, we highlight how Microsoft is meeting the moment with AI to create a more inclusive, sustainable, and trusted future.
In the news | Undark
Interview: Are We Misinformed About Misinformation
In June, the journal Nature published a perspective suggesting that the harms of online misinformation have been misunderstood. The paper’s authors, representing four universities and Microsoft, conducted a review of the behavioral science literature and identified what they characterize as…
In the news | Microsoft WorkLab Podcast
Tackling the World’s Toughest Problems with AI
The director of Microsoft’s AI for Good Lab on how the technology is helping to address intractable global challenges—and what all leaders can learn from those efforts.
In the news | GeekWire
The top three AI challenges and trends on the mind of Microsoft Research’s president
What’s next for AI, and what are the main technical hurdles to overcome? That was one of the questions we asked when working on our deep dive into Microsoft’s history and future in artificial intelligence, published last week to launch…
如何泛化AI的深度推理能力？
作者：系统智能组 编者按：大语言模型的推理能力一直是人工智能领域的研究热点，但传统依赖大规模数据和参数扩展的预训练方式在提升模型推理能力上逐渐遇到了瓶颈。微软亚洲研究院的最新研究关键计划步骤学习 CPL（Critical Plan Step Learning），旨在将强化学习扩展到更广泛、更复杂的问题场景，并取得了突破性进展。CPL 通过在自我生成的高层次抽象计划上进行强化学习，不仅提升了模型在数...
USENIX ATC 2024 best paper | How Microsoft is improving cloud AI infrastructure reliability
As cloud AI workloads grow in complexity and scale, maintaining high system reliability has become crucial. Traditional methods of ensuring system reliability, such as using redundant components, inadvertently introduce a new problem: subtle performance degradation, also known as “gray failures”.…
In the news | Microsoft on the Issues
Advancing biodiversity with AI
The health of our society is deeply intertwined with the health of our planet. While much of the global conversation around the environment focuses on the devastating impacts of climate change, it is crucial to recognize that climate and biodiversity…