Research

A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.

New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.

Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.

New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.