For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

University libraries hold vast collections of scholarly work, yet most academic books are borrowed only a handful of times ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Scientists found our brain may organize behavior by activity patterns rather than fixed regions, reshaping how brain control ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...

An estimated 60% of patients with Alzheimer's disease develop epilepsy or subclinical epileptiform activity over the course of the disease. New-onset seizures in cognitively healthy adults also ...