In the news | Aminer
The AI 2000 Most Influential Scholar Annual List will name 2,000 of the world's top-cited research scholars from the fields of artificial intelligence over the next ten years (2020 - 2029).
In the news | ACM SIGPLAN
Among Simonâs technical contributions to language design is leading work in monadic I/O, type classes, generalized abstract data types, composable transactional memory, generic programming via 'scrap your boilerplate', advances in type inference, and more.
In the news | The Royal Society
Simon's main research interest is in functional programming languages, their implementation, and their application. He was a key contributor to the design of the now-standard functional language Haskell, and is the lead designer of the widely-used Glasgow Haskell Compiler (GHC).
In the news | Yelp
His 'Mining Quality Phrases from Massive Text Corpora' research was a Round Four winner.
By Christine Clifton-Thornton, Research News Swedish Nobel organizers whose annual prizes recognize the pinnacle of human achievement turned their attention this month to human and artificial intelligence. The Nobel Week Dialogue convened leading academics, technology leaders, Nobel laureates and other luminaries…
By Miran Lee, Principal Research Program Manager, Microsoft Research Asia It’s incontrovertible that technology is changing the face of education. Today, students throughout the world conduct research online and complete their school assignments digitally. Many students have access to laptops…
By Allison Linn, Senior Writer, Microsoft Research A team led by a Microsoft researcher has won the prestigious Marr prize in computer vision research for a paper that presents an alternative to what is currently the most popular method of…
Awards | ICCV
Antonio Criminisi along with Peter Kontschieder, Madalina Fiterau, and Samuel Rota Bulo were awarded the Marr Prize at ICCV 2015 for their award-winning paper, Deep Neural Decision Forests. Their research showed that by using a technique called random forests researchers could create a…
世界上最好计算机视觉系统有多精确?就在美国东部时间12月10日上午9时,ImageNet计算机视觉识别挑战赛结果揭晓 (opens in new tab)——微软亚洲研究院视觉计算组的研究员们凭借深层神经网络技术的最新突破,以绝对优势获得图像分类、图像定位以及图像检测全部三个主要项目的冠军。同一时刻,他们在另一项图像识别挑战赛MS COCO(Microsoft Common Objects in...