Finding and fixing bugs with deep learning
| Miltos Allamanis and Marc Brockschmidt
Finding and fixing bugs in code is a time-consuming, and often frustrating, part of everyday work for software developers. Can deep learning address this problem and help developers deliver better software, faster? In a new paper, Self-Supervised Bug Detection and…
In the news | Boston Review
Can Big Tech Serve Democracy?
Two new books about technology and the fate of democracy begin by describing the storming of the U.S. Capitol on January 6, 2021. They are right to see that fateful day as a turning point and a benchmark for debates…
You get what you measure: New NLU benchmarks for few-shot learning and robustness evaluation
| Jianfeng Gao and Ahmed Awadallah
Recent progress in natural language understanding (NLU) has been driven in part by the availability of large-scale benchmarks that provide an environment for researchers to test and measure the performance of AI models. Most of these benchmarks are designed for…
In the news | Microsoft Research Blogs
You get what you measure: New NLU benchmarks for few-shot learning and robustness evaluation
Recent progress in natural language understanding (NLU) has been driven in part by the availability of large-scale benchmarks that provide an environment for researchers to test and measure the performance of AI models. Most of these benchmarks are designed for…
A unified modeling story for artificial intelligence "Unity" is a common goal in many disciplines. For example, in the field of physics, scientists have long been pursuing the grand unification theory, which is a single theory that can be used…
Xing Xie was announced as IEEE Computer Society 2022 Fellow for contributions to spatial data mining and recommendation systems.
Efficiently and effectively scaling up language model pretraining for best language representation model on GLUE and SuperGLUE
| Jianfeng Gao and Saurabh Tiwary
As part of Microsoft AI at Scale (opens in new tab), the Turing family of NLP models are being used at scale across Microsoft to enable the next generation of AI experiences. Today, we are happy to announce that the…
Awards | The International Conference for High Performance Computing, Networking, Storage, and Analysis (Supercomputing'21)
Deepak Narayanan and Amar Phanishayee receive best student paper award
The Super Computing 2021 organizers selected Deepak Narayanan and Amar Phanishayee's paper, Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM, as the best student paper for its quality and potential impact.
Awards | InfoSys
Neeraj Kayal awarded Infosys 2021 Prize for Mathematical Sciences
The Infosys Prize 2021 in Mathematical Sciences is awarded to Dr. Neeraj Kayal of Microsoft Research lab, Bengaluru, for his outstanding contributions to Computational Complexity. His extensive, innovative work on algebraic computation includes the development of deep lower bound techniques…