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.

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

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...

Abstract: Generative artificial intelligence (GenAI) refers to the use of neural networks to produce new output data, which could be in the form of text, image, audio, video, or other modalities.