Microsoft at NeurIPS 2021
Location: Virtual
Microsoft Research blog
Research at Microsoft 2021: Collaborating for real-world change
Over the past 30 years, Microsoft Research has undergone a shift in how it approaches innovation, broadening its mission to include not only advancing the state of computing but also using technology to tackle some of the world’s most pressing…
FS-Mol: Bringing Deep Learning to Early-Stage Drug Discovery
| Marc Brockschmidt and Megan Stanley
The drug development process is an iterative one that consists of discovery, design, and testing. Historically, drugs were derived from plants and discovered through trial-and-error experiments. Fortunately, this drug discovery process now occurs in a lab, with each iteration of…
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…
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…