Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human behavior science to machines.

A team of researchers at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity ...

A new study reveals how children outlearn AI - using movement, senses, and social cues to master language faster than any ...

Ever since the pandemic, the education technology sector-especially digital learning-has been undergoing a rapid ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

More than 13 advanced AI, machine learning and technology focused camps delivered in collaboration with leading universities; ...