Network synchronization in phase oscillators faces a hidden geometric barrier inside network loops, a new Communications ...

Network synchronization researchers at Universitat Rovira i Virgili show that ordinary pairwise networks generate ...

A new model called GA-ODE combines graph attention networks with ordinary differential equation constraints to predict ...

Imago Platform uses graph databases to improve AI knowledge management, ground responses in business context and trace agent ...

USC Engineering Insights - When a major earthquake hits Los Angeles, our best traffic models will be reading a map that no longer exists. USC Viterbi professor Cyrus Shahabi is building the system ...

Quantum computers promise calculations that would leave even the largest classical supercomputers stranded, but the machines ...

Researchers in Zhengzhou have built a graph neural network that encodes the measured noise of superconducting quantum ...

Called Dynamic Clustering for Channel Pruning (DCCP), the method reduced the floating-point operations of ResNet-50 by 68.52% ...

Flahy uses knowledge graphs to connect biological and clinical data, supporting personalized decisions in AI-powered ...

HYDERABAD: Researchers have developed a hybrid deep-learning model to detect suspicious transactions, unauthorised access and ...

A control plane for distributed AI could help applications decide which tasks to run on a device, at the edge or in the cloud ...

Partnerships, product innovation and acquisitions expand market reach, while AI integration and managed services drive efficiency, insight and scalable adoption.Dublin, Oct. 09, 2026 (GLOBE NEWSWIRE) ...