The newly developed "Fellow Travelers in Treatment" scale highlights the importance of attending to social connections during ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
Tohoku University and Fujitsu Limited have successfully used AI to derive new insights into the superconductivity mechanism ...
The semiconductor industry produces around 150 chips per person each year. With them comes massive data, generated from chip design, fabrication facilities, testing processes and supply chain ...
For many organisations, the promise of artificial intelligence (AI) is being undermined by a fundamental problem: their data isn’t ready for it. This can lead to conflicting metrics and inconsistent ...
Abstract: This study explored the issue of decentralized adaptive event-triggered neural network (NN) control for nonlinear interconnected large-scale systems (LSSs) subjected to unknown measurement ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
University of Illinois Physics Professor Paul Kwiat and members of his research group have developed a new tool for precision measurement at the nanometer scale in scenarios where background noise and ...
This article originally appeared on ProPublica. ProPublica is a Pulitzer Prize-winning investigative newsroom. Sign up for The Big Story newsletter to receive stories like this one in your inbox. More ...
Smart scales track changes in your muscle mass, body fat percentage and other health metrics — but how do smart scales work, and how accurate are they? When you purchase through links on our site, we ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback