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In the news | sees.ai

sees.ai joins Microsoft’s Project AirSim early access program 

November 18, 2022

From the beginning, our simulation software of choice has been Microsoft’s AirSim – an experimental open source code base that has provided a common way for unmanned aerial vehicle developers to share research code and test new ideas around aerial…

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微软T-ULRv6:引领基础模型向多语言“大一统”迈进 

November 17, 2022

近日,微软通用语言表示模型再创新佳绩。最新的 T-ULRv6 在谷歌 XTREME 和 GLUE 排行榜上摘得双榜冠军,证明了单个多语言模型可以同时在英语和多语言理解任务上达到 SOTA 性能。这也是多语言理解模型首次在两个排行榜上同时夺魁,力压专用于英语或专用于多语言任务的模型,从而有助于消除“多语言诅咒”。 微软亚洲研究院自然语言计算组首席研究员韦福如表示,“T-ULRv6 是我们推进大规模预...

The image has one large circle with shaking hands in the center. Surrounding the circle are six smaller graphics: a series of code, a bar graph, a shield, a cog, a cloud, and a computer.
Microsoft Research Blog

Research trends in privacy, security and cryptography 

November 17, 2022 | Manuel Costa, Weidong Cui, Karen Easterbrook, Paul England, Hamed Khanpour, Kim Laine, Kapil Vaswani, Mike Walker, and Ryen W. White

Trust is essential for people and organizations to use technology with confidence. At Microsoft, we strive to earn the trust of our customers, employees, communities, and partners by committing to privacy, security, the responsible use of AI, and transparency. At…

Research Focus 04 - NeurIPS
Microsoft Research Blog

Research Focus: Week of November 17, 2022 

November 17, 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. Microsoft is a proud platinum sponsor of the 36th annual conference on Neural…

NeurIPS 2022
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NeurIPS 2022 | 赋能产业界的人工智能研究新趋势 

November 16, 2022

编者按:作为目前全球最负盛名的人工智能盛会之一,NeurIPS (Conference on Neural Information Processing Systems) 在每年年末都是计算机科学领域瞩目的焦点。被 NeurIPS 接收的论文,代表着当今神经科学和人工智能研究的最高水平。今年的 NeurIPS 大会将于11月28日至12月9日举行,本届大会共收到10411篇有效投稿,其中2672篇...

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Should expert radiologists label individual images or entire examinations? 

November 16, 2022

Winner of an RSNA 2022 Trainee Research Prize (opens in new tab): Read the full pre-print on Arxiv [2211.15924] Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT (arxiv.org) (opens in new…

CUPED adjusts metrics by the predicted value from a regression of Y on X. The treatment effect estimate has lower standard error. Estimated confidence intervals are narrower as a consequence, and power of tests are increased.
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Deep Dive Into Variance Reduction 

November 15, 2022

Variance Reduction (VR) is a popular topic that is frequently discussed in the context of A/B testing. However, it requires a deeper understanding to maximize its value in an A/B test.  In this blog post, we will answer questions including:…

Awards | Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless

Mike Liang receives Test of Time paper award at ACM SenSys 2022 

November 15, 2022

Mike Chieh-Jan Liang, along with fellow authors Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Andreas Terzis received the Test of Time award for their 2010 paper Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless.  Motivation:…

In the news | Microsoft Project AirSim accelerates autonomous flight with Unreal Engine

Microsoft Project AirSim accelerates autonomous flight with Unreal Engine 

November 14, 2022

The safety and effectiveness of autonomous vehicles relies on rigorous training through simulation. To ensure such training reflects realistic terrain, weather conditions, and scenarios, many companies turn to real-time technology like Unreal Engine. Case in point: Microsoft Project AirSim uses…

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