FS-Mol
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot…
FS-Mol: Bringing Deep Learning to Early-Stage Drug Discovery
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…
Developer Tech Minutes: Watch For
The Watch For team at Microsoft has developed an AI system that can identify interesting events in videos in near real-time. Learn how this platform pushes the boundaries of efficient, programmable, and scalable AI to…
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…