Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs) – AI systems used in applications from drug discovery to weather ...

How does the brain create mental images? A new study reveals that visual imagination and perception share a common neural code.

Abstract: The use of deep neural networks for speech recognition and recognizing speech commands continues to grow. This necessitates an understanding of the security risks that goes along with this ...

Hebbian Attractor Networks (HANs) are plastic neural networks that continuously self-modify during deployment using local Hebbian learning rules. By combining dual-timescale plasticity and temporal ...

Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural ...

A critical Telnet vulnerability with a CVSS rating of 9.8 enables attackers to take full control of affected systems before authentication even kicks in, security researchers at Dream Security have ...