Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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

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

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

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...

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

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

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

Genetic testing is becoming an increasingly important component of reproductive health care. It has evolved, over the years, ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...