In the news | ACM SIGOPS
Best Paper Award in ACM SOSP 2019
For the paper, 'Efficient and Scalable Thread-Safety Violation Detection â Finding thousands of concurrency bugs during testing.'
Art + Architecture + AI = Ada with Jenny Sabin and Asta Roseway
Jenny Sabin is an architectural designer, a professor, a studio principal and MSR’s current Artist in Residence. Asta Roseway is a principal research designer, a “fusionist” and the co-founder of the Artist in Residence program at Microsoft Research. The two,…
In the news | ZDNet
Microsoft is poised to add machine-reading results to Microsoft Search
For the past several years, Microsoft researchers have been focused on finding ways to make commercial use of machine-reading technology. It looks like some of that work is about to become commercialized in the form of bringing machine-reading comprehension into…
In the news | Gizmodo
Microsoft made a smartphone app that can administer driving tests without an instructor
The HAMS project (short for Harnessing AutoMobiles for Safety) uses a smartphone mounted to the windshield of a vehicle thatâs positioned so that its front-facing camera can see and monitor the driver, while its rear-facing camera can monitor the road…
In the news | Hindustan Times
Microsoft’s AI-based ‘HAMS’ automates driver license tests in India
Microsoft Research has developed a smartphone-based driving test system that leverages the power of Artificial Intelligence to make a fair analysis of a driver's ability before issuing him or her a license. The system has already been deployed at Dehradun…
Awards | Association for Computing Machinery (ACM)
Four Microsoft researchers selected as 2019 ACM Distinguished Members
Weidong Cui, Andrew Begel, Landon Cox, and Xing Xie have been recognized as 2019 Distinguished Members of the Association for Computing Machinery (ACM) for their significant contributions to technologies that underpin how we live, work and play. “Each year it is…
PipeDream: A more effective way to train deep neural networks using pipeline parallelism
| Amar Phanishayee
Deep Neural Networks (DNNs) have facilitated tremendous progress across a range of applications, including image classification, translation, language modeling, and video captioning. DNN training is extremely time-consuming, needing efficient multi-accelerator parallelization. In “PipeDream: Generalized Pipeline Parallelism for DNN Training,” published…
Awards | International Symposium on Software Reliability Engineering
Microsoft researchers recognized for great impact on ISSRE community
To celebrate the 30th anniversary of the International Symposium on Software Reliability Engineering, the ISSRE committee promoted an initiative to identify the most influential papers, called “Highlights from 30 years of ISSRE”. Putting It All Together: Using Socio-technical Networks to…