For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

Beauty AI integrates a multi-stage enhancement model that focuses on facial texture reconstruction and adaptive resolution scaling. Using a deep convolutional neural network, the system restores ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Cloud-native SON is an architecture built on cloud infrastructure, typically delivered as a SaaS solution. It leverages the ...

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Old network security techniques aren't working against AI. Bob Moul's latest start-up is taking a new approach.

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...