Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

Model vessels: study highlights the importance of dilation in the brain. (Courtesy: Shutterstock/Phonlamai-Photo) A new model based on the blood-vessel network in a ...

A new traffic flow management computer network developed for FAA by Computer Sciences Corp. entered operational service June 18 and is expected to provide flow control specialists with a better view ...

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

Researchers have identified a previously unknown mechanism by which the kidney precisely controls calcium excretion. The ...

For ages, Ethernet has been the backbone of networking — starting from simple web browsing to cloud computing, data centers, automobiles, and more. Ethernet has enabled countless innovations, and now, ...

A new neuroimaging study reveals how the brain gets to the creative flow state. Effortless, enjoyable productivity is a state of consciousness prized and sought after by people in business, the arts, ...

Researchers say they've found the answer to competing hypotheses about how the brain functions in a "flow state." When you purchase through links on our site, we may earn an affiliate commission. Here ...

Enterprises have seen an explosion of new applications, devices and classes of users on their LANs, which makes it harder than ever for IT to ensure network performance, secure corporate assets and ...