Nature

Energy-Efficient Neural Network Computing

Energy-efficient neural network computing represents a transformative approach to mitigating the increasing energy demands of modern artificial intelligence systems. By harnessing cutting-edge ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

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

From “optical synapses” to a “photonic brain” --- integrated photonic neural networks toward low-power general-purpose

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.
SiliconANGLE

Three insights you might have missed from SC24

High-performance computing innovations are redefining the future of enterprise computing, pushing the boundaries of scalability, sustainability and innovation. At the heart of this transformation is ...
EurekAlert!

Optical neural networks: A powerful boost for optical computing

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

MediaTek bets on automotive and high-performance computing as new growth engines

MediaTek is focusing on automotive and high-performance computing as new growth drivers while maintaining leadership in ...
Luxembourg Government

Results of the joint call for projects aimed at accelerating the use of artificial intelligence and/or high-performance computing within the Luxembourg innovation ecosystem

On 5 February, the nine projects retained for co-funding in the context of the joint call for projects "High-Performance Computing and Artificial Intelligence" were announced by the Ministry of the ...