新闻与深度文章
| Eric Horvitz
Episode 2, December 4, 2017 – When it comes to artificial intelligence, Dr. Eric Horvitz is as passionate as he is accomplished. His contributions to the field, and service on the boards of nearly every technical academy and association in…
| Jaime Teevan
Episode 1, November 28, 2017 – Dr. Jaime Teevan has a lot to say about productivity in a fragmented culture, and some solutions that seem promising, if somewhat counterintuitive. Dr. Teevan is a Microsoft researcher, University of Washington Affiliate Professor,…
新闻报道 | Beyond Tomorrow
Beyond Tomorrow – A vision study by Brüel & Kjær
The Beyond Tomorrow Vision Study is published and a symposium has been assembled with industry experts, including Ivan Tashev, discussing the report findings and their perspectives on the future of product development.
| Victor Bahl
Today, at HotNets 2017, the Sixteenth ACM Workshop on Hot Topics in Networks, we shared with you some important research results from Microsoft Research and Microsoft Azure that show how we can increase the capacity of optical networks without purchasing new…
新闻报道 | The Globe and Mail
Soil sensors, drones and data analytics are the new tools for farmers
Agriculture experts say the majority of farmers are now waking up to the value that technology and data can unlock.
新闻报道 | Digital Journal
Microsoft AI simulator includes autonomous car research
Microsoft’s artificial intelligence simulator has been expanded to include autonomous car research. The company has announced that its AirSim system will be used for testing the safety of vehicle artificial intelligence systems.
新闻报道 | New York Times
Can AI be taught to explain itself?
As machine learning becomes more powerful, the field’s researchers increasingly find themselves unable to account for what their algorithms know — or how they know it.
| Ashish Kapoor 和 Shital Shah
Earlier this year, we open-sourced a research project called AirSim, a high-fidelity system for testing the safety of artificial intelligence systems. AirSim provides realistic environments, vehicle dynamics and sensing for research into how autonomous vehicles that use AI that can…
| William Blum
Microsoft researchers have developed a new method for discovering software security vulnerabilities that uses machine learning and deep neural networks to help the system root out bugs better by learning from past experience. This new research project, called neural fuzzing,…