Dr. Ed Cutrell is a Principal Researcher in the Ability group at Microsoft Research and he’s convinced that great technology should be available to everyone. Working in the fields of Accessibility and Information and Communication Technologies for Development (aka ICT4D),…
| Michal Moskal
When we began developing Microsoft MakeCode, a computing education platform, it was all about making programming easier, more engaging, and just plain friendlier. After all, if we were going to inspire the next generation of coders, easier entry into the…
| Vighnesh Leonardo Shiv
How we act, including how we speak, is more often than not determined by the situation we find ourselves in. We wouldn’t necessarily use the same tone and language with friends during a night out bowling as we would with…
要说中国最流行、群众基础最深厚的运动是什么,那一定是历史悠久、老少咸宜的“国粹”——麻将。 麻将的起源众说纷纭,今天我们熟知的麻将玩法大体成型于晚清,在当时称作“麻雀”。随着商贸与外交活动的开展,麻将渐渐风行亚洲,乃至流传到世界各地,成为蕴含着古老的东方哲学与博弈智慧的“一股神秘的东方力量”。在今天,无论是逢年过节的热闹团圆,还是日常小聚的茶余饭后,随时随地,凑齐四个人一桌牌就能打个热火朝天。 国...
In the news | CNNMoney Switzerland
AR, VR, XR…. Do you want to better understand these technologies that are disrupting our daily lives? In our very first episode of #ShowMeTech, the new digital show produced in tandem with the Digital Festival, Vitaly Ponomarev, the founder and…
In the news | Microsoft Asia News Center
Microsoft researchers have developed an artificial intelligence (AI) system that has taught itself the intricacies of Mahjong and can now match the skills of some of the world’s top players.
In the news | Microsoft Research Asia News
要说中国最流行、群众基础最深厚的运动是什么,那一定是历史悠久、老少咸宜的“国粹”——麻将。 麻将的起源众说纷纭,今天我们熟知的麻将玩法大体成型于晚清,在当时称作“麻雀”。随着商贸与外交活动的开展,麻将渐渐风行亚洲,乃至流传到世界各地,成为蕴含着古老的东方哲学与博弈智慧的“一股神秘的东方力量”。在今天,无论是逢年过节的热闹团圆,还是日常小聚的茶余饭后,随时随地,凑齐四个人一桌牌就能打个热火朝天。
Episode 87, August 28, 2019- As computing moves to the cloud, there is an increasing need for privacy in AI. In an ideal world, users would have the ability to compute on encrypted data without sacrificing performance. Enter Dr. Olli…
In the news | Microsoft Research Podcast
Dr. Olli Saarikivi, along with a stellar group of cross-disciplinary colleagues, are bridging the gap with CHET, a compiler and runtime for homomorphic evaluation of tensor programs, that keeps data private while making the complexities of homomorphic encryption schemes opaque…