Since COVID-19 first broke out, nearly 280 million people worldwide have contracted the disease, and more the 5.4 million people have died as a result, bringing huge losses and injuries to the global economy and to social life. In contrast,…
ML models can be a “black box” that make decisions in ways that we don’t understand. Model Explainability is a feature that helps practitioners' probe how a model makes decisions so they can have more confidence in the results.
In the news | EPFL News
A new global study by researchers from EPFL, the University of Fribourg, and Microsoft Research has found there was an overall surge in high calorie foods such as pastries, bread and pies during the first wave of the COVID-19 pandemic,…
编者按:在计算机领域,研究与产品的关系往往十分微妙。一方面,二者相辅相成、互相推动;另一方面,它们追求的目标又不尽相同——产品需要精确的 KPI 及短期落地目标,研究则更注重宏观的、长期的影响力。今天科学匠人的主人公,微软亚洲研究院首席研究员白静博士在产品与研究领域都深耕多年,她希望自己的研究能成为这两个领域之间融会贯通的纽带。在她看来,让研究成果与产品产生共振,进而推动彼此进化,是研究的价值所在...
| Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh Gupta, Yale Song, Daniel McDuff, and Ashish Kapoor
Humans have the fundamental cognitive ability to perceive the environment through multimodal sensory signals and utilize this to accomplish a wide variety of tasks. It is crucial that an autonomous agent can similarly perceive the underlying state of an environment…
编者按:近年来,计算生物学无疑是人工智能领域的一大热门话题。但,计算生物学究竟是什么?目前进展如何?未来又蕴藏了怎样的机遇? 近期,在量子位对撞派推出的“计算生物学”专题直播中,微软亚洲研究院副院长刘铁岩、首席研究员邵斌和主管研究员王童介绍了微软亚洲研究院计算生物学领域的最新研究,并对未来 AI for Science 的发展和融合进行了分享。 回放视频以及精华版文字内容如下,赶快一键收藏吧! 视...
In the news | UCB
At UCB, our aim is to amplify the power of scientific innovation through digital transformation, ensuring we deliver the best individual experience so patients can live their best lives. As part of that effort, we are integrating artificial intelligence (AI)…
In the news | Analytics India
Recently, researchers from Microsoft AI for Good Research Lab, and The Nature of Conservancy have built an AI Dataset for Solar Energy locations in India with up-to-date and accurate geospatial information of the PV infrastructures. The team used ML to…