Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...
Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
For as little as $4.99, teenagers are uploading photos of their classmates’ faces to “nudify” sites to generate so-called ...
The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.
Modern neuroscience has transitioned from small-scale manual observations to a data-intensive field powered by computational innovation. Traditionally ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results