The Chronicle of Higher Education recently ran a piece that offers a beautiful and evocative snapshot of intellectual life at its best. Its authors, Khafiz Kerimov and Nicholas Bellinson of St. John’s ...

Learning a new motor skill requires an alteration in the spatiotemporal pattern of muscle activation. Motor areas of cerebral neocortex are thought to be involved in this type of learning, possibly by ...

Nearly a third of US supercomputer time is spent on molecular modeling, a way to test-drive new drugs and materials on the computer before making them in the lab. The most accurate approach is the ...

What makes some managers more valuable than others? Organizations tend to assume the answer lies in motivation and control: good managers are those who inspire effort, build team morale, or enforce ...

A state-level preview of the Big Beautiful Bill’s Medicaid reforms didn’t improve employment or result in gains in insurance coverage. By Simar Bajaj A new study adds to a growing body of evidence ...

Operant conditioning, sometimes called instrumental conditioning or Skinnerian conditioning, is a method of learning that uses rewards and punishment to modify behavior. Through operant conditioning, ...

The justices are set to hear cases on tariffs, voting rights and trans athletes President Donald Trump has been on a roll at the U.S. Supreme Court, winning more than a dozen interim rulings backing ...

It’s the only way to make sound trade-off decisions and choose the right practices. by Gary P. Pisano Despite massive investments of management time and money, innovation remains a frustrating pursuit ...

Abstract: In distributed systems, data may partially overlap in sample and feature spaces, that is, horizontal and vertical data partitioning. By combining horizontal and vertical federated learning ...

Emotional intelligence refers to the ability to identify and manage one’s own emotions, as well as the emotions of others. Emotional intelligence is generally said to include a few skills: namely, ...

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...