Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...
Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
The electric nose device developed by UC Berkeley engineers. (Brandon Sánchez-Mejia/UC Berkeley) If you wind up with an upset ...
Researchers at Mayo Clinic have developed an artificial intelligence (AI) system that could transform how pancreatic cancer ...
Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their physical properties and origin.
In the work we do to support healthcare organizations, we see daily how AI tools are already transforming the industry. | The ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.