Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

Natural physical networks are continuous, three-dimensional objects, like the small mathematical model displayed here.

Scientists are a step closer to solving one of the universe's biggest mysteries as new research finds evidence that two of ...

The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...

Contingency management theory says there’s no one-size-fits-all approach — leaders must adapt strategies based on people, ...

Inside high-energy proton collisions, quarks and gluons briefly form a dense, boiling state before cooling into ordinary ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...

Beckert's book, a sweeping 1,300-page history, synthesizes bits and pieces of the academic literature to recount the ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...