SIGIR 2019 Conference: Research leads to more efficient information access, management, and retrieval
| Ryen W. White, Ahmed Awadallah, and Andrey Kolobov
Microsoft researchers are delving beyond the boundaries of information retrieval to optimize how we access and manage information in different areas. Not only are they advancing the realm most synonymous with information retrieval, search engines, but they are also researching…
Learning web search intent representations from massive web search logs
| Paul Bennett, Chenyan Xiong, and Corby Rosset
Have you ever wondered what happens when you ask a search engine to search for something as seemingly simple as “how do you grill salmon”? Have you found yourself entering multiple searches before arriving at a webpage with a satisfying…
In the news | DZone
Bosque: Microsoft’s New Programming Language
Bosque is described as a programming language that is “simple, obvious, and easy to reason about for both humans and machines.” As a supporter of technology that is “simple”, “obvious” and “easy”, I was interested to see what this meant…
The future of productivity: People and tools that grow together
| Jaime Teevan
Computers are disappearing. This doesn’t mean they’re actually going away, though. In fact, every day more and more of how we live, work, and interact is transformed by computers. But it does mean that technology has become so ubiquitous in…
Making the future of work work for you with Johannes Gehrke
Episode 83, July 17, 2019- Dr. Johannes Gehrke is a Microsoft Technical Fellow and head of Architecture and Machine Learning for the Intelligent Communications and Conversations Cloud in Microsoft’s Experiences and Devices division. But lest you think his lofty position…
In the news | Microsoft Azure Blog
Microsoft makes it easier to build popular language representation model BERT at large scale
Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning (opens in new tab), so that customers can unlock the…
微软亚洲研究院“铸星计划”旨在发掘和助力新一代青年学者，使其成为科研创新能力突出、走在世界科技前沿的学术带头人。于青年学者而言，这绝不是一场简单的访问：通过与顶尖研究员的亲密合作，学者们可以扩展研究的想象力、探索技术未来的可能；依托最新、最全的数据集和强大的硬件资源，学者们能大大推进科研项目的进展；产业界独有的实际应用场景，也能帮助学者们解决产品落地过程中最真实的问题。 今天，我们带来了三位老师的...