新闻与深度文章
In this issue: HyWay enables hybrid mingling; Auto-Tables transforms non-relational tables into standard relational forms; training dense retrievers to identify high-quality in-context examples for LLM; improving pronunciation assessment in CAPT.
In this issue: Microsoft researchers win four more awards; AutoRXN automates calculations of molecular systems; LLM accelerator losslessly improves the efficiency of autoregressive decoding; a frequency domain approach to predict power system transients.
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei,…
| Natural Language Computing Group
For many years AI researchers have sought to build upon traditional machine learning, which trains technology to process facts and learn from them, and develop machine reasoning, in which programs apply logic to data and solve problems – comparable to…
According to Evans Data Corporation (opens in new tab), there are 23.9 million professional developers in 2019, and the population is expected to reach 28.7 million in 2024. With the growing population of developers, code intelligence, which aims to leverage…
Software Aids Language Learners
By Gary Alt, Writer, Microsoft Imagine mining the web to learn a language. No, not the jargon of webspeak, where IMHO means “in my humble opinion” or F2F is “face to face,” but real, spoken languages, such as Spanish, Hindi,…