Researchers have developed a solar-powered, IoT-integrated robotic system that uses deep learning to detect plant diseases in real time with over 99% accuracy. The autonomous platform combines ...

As large-scale industrial processes evolve toward greater complexity, the increasing interdependence of networked and dynamic process data has a critical impact on product quality, creating ...

Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...

Increasing prevalence of bleeding disorders, rising number of surgical procedures, aging population, and growing focus on ...

As part of the comprehensive Construction Re-engineering Initiative at the U.S. Census Bureau, alternative data sources are being considered to supplement or replace current data collection methods.

Researchers have developed TD-MCL, a spiking neural network framework inspired by how infant brains grow and prune synapses. The method enables AI to learn new tasks without forgetting old ones while ...

A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...

AI-based deep learning models can detect interstitial lung disease from lung ultrasound images in patients with systemic ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

Researchers at the University of California San Diego and Rutgers University created a brain-inspired device combining memory ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that could also influence future artificial intelligence (AI) systems. In most ...