Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

Best-sellers have explored every facet of productivity. Charles Duhigg’s “The Power of Habit” looked at the neuroscience of behavior change. “Atomic Habits” by James Clear touted small, deliberate ...

Stanford researchers have developed a flexible material that can quickly change its surface texture and colors, offering ...

A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...

Learn about Agentic AI and its role in enhancing decision-making in drug discovery through planned actions and verified ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

Jung Myungsoo, CEO of Panecia and Distinguished Professor at the Department of Electrical and Electronic Engineering at KAIST, has been selected as ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...