Alongside the silicon announcement, Cisco introduced new fixed and modular switching systems in its Nexus 9000 and Cisco 8000 ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

This milestone deployment advances India’s AI goal to enable large‑scale generative, agentic and physical AI while expanding NxtGen’s AI services..

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

Unified, wireless-first architecture based on latest wireless standard designed to address rising demand for hybrid work, and deliver performance, efficiency and security for next-gen enterprise ...

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...