In vehicular networks, the detection of malicious traffic presents significant challenges due to the critical nature of automotive systems and the evolving complexity of cyber attacks. This paper ...

In recent years, the wood product industry has been facing a skilled labor shortage. The result is more frequent sudden failures, resulting in additional costs for these companies already operating in ...

PerturbNet consists of three neural networks: a perturbation representation network, a cellular representation network, and a network that maps from perturbations to cell states (Fig. 1A). The ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile Internet with Human-in-the-Loop (CeTI).

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds ...

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons.