新闻与深度文章
| Adith Swaminathan 和 Emre Kiciman
Causal inference studies the relationship between causes and effects. For example, one kind of question that causal inference can answer is the “What-happens-if …” question. What happens if I take a specific medication? What happens if I raise the price…
Some heavy hitters in AI report breakthroughs in getting neural networks to decipher hidden structure of social networks such as Reddit.
Episode 26, May 30, 2018 – Dr. Rich Caruana talks about how the rise of deep neural networks has made understanding machine predictions more difficult for humans, and discusses an interesting class of smaller, more interpretable models that may help…
Episode 10, January 31, 2018 – We can program computers to do almost anything. But what about programming computers to… program computers? That’s a task that Dr. Rishabh Singh, and the team in the Cognition group at Microsoft Research, are…
| Miro Dudík
News portals that simultaneously personalize every part of the landing page for every visitor and mobile health apps that adaptively tweak every part of an exercise regimen to maximize the benefit of every user are becoming plausible due to an…
By Xiaodong He, Principal Researcher, Microsoft Research For human beings, reading comprehension is a basic task, performed daily. As early as in elementary school, we can read an article, and answer questions about its key ideas and details. But for…
Microsoft’s CaptionBot uses computer vision and natural language processing to describe any photo, just as a human would.
新闻报道 | TechCrunch
Microsoft demos next-generation image-captioning Captionbot
Microsoft created Captionbot.ai, which is a tremendously addictive (and science-fiction-grade awesome).
新闻报道 | Communications of the ACM
Seeing More Clearly (ACM .pdf)
Communications of the ACM interviewed Fei-Fei Li, Rob Fergus, Richard Zemel and Xiaodong He on recent progress in computer vision and language processing, interview highlighted in “Seeing More Clearly” in the January 2016 issue of CACM.