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

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

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

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 ...

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 ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

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 ...