Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Firms may use analytical tools—including software, machine learning, or predictive model—so long as they make independent ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...