Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) was successfully organized by the School of Computing, Goldsmiths, University of London, The ...

Overview: We built this list around a documented selection process, not personal taste, weighing factors such as authority, teaching quality, and how well each ...