Since the onset of the COVID-19 pandemic, data scientists and user researchers have been partnering with the Education product team to help them better understand what is happening with teaching and learning in remote settings.
| Tristan Sylvain, Devon Hjelm, and Linda Petrini
In computer vision, one key property we expect of an intelligent artificial model, agent, or algorithm is that it should be able to correctly recognize the type, or class, of objects it encounters. This is critical in numerous important real-world…
| Sharad Agarwal
Editor’s Note: The author would like to give special thanks to his collaborators, Ardalan Amiri Sani, Professor of Computer Science at UC Irvine, Sung Eun (Summer) Kim, Professor of Law at UC Irvine, and UC Irvine students Saeed Mirzamohammadi, Yuxin…
Awards | Health Data Research UK
Congratulations to Kenji Takeda for his contribution to winning “Team of the Year” at the Health Data Research UK One Institute Conference. The award recognized the Cloud-based integration of patient data to aid rare disease research.
Awards | Allen School News
Karin Strauss, a principal research manager at Microsoft and affiliate professor at the Paul G. Allen School of Computer Science and Engineering, and Allen School professor Luis Ceze, have earned the 2020 Maurice Wilkes Award from the Association for Computing Machinery’s Special…
In the news | GlobeNewswire
RALEIGH, N.C., June 12, 2020 (GLOBE NEWSWIRE) -- PRA Health Sciences, Inc. (NASDAQ: PRAH) announced today the enhancement of its commercial Health Harmony COVID-19 Monitoring Program with the integration of the Microsoft Healthcare Bot service.
Awards | ACM SIGCOMM
The SIGCOMM Networking Systems Award is awarded to an institution or individual(s) to recognize the development of a networking system that has had a significant impact on the world of computer networking. Venkat Padmanabhan, Deputy Managing Director, Microsoft Research India,…
| Nan Duan, Yaobo Liang, and Daniel Campos
What we can teach a model to do with natural language is dictated by the availability of data. Currently, we have a lot of labeled data for very few languages, making it difficult to train models to accomplish question answering,…