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 ...
Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.
Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
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.
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...
A humble charcoal inscription discovered on a Pompeii wall has rewritten history. Previously believed to have erupted in ...
Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve ...
By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...
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