Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

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

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...