IEEE

Implementing Holographic Reduced Representations for Spiking Neural Networks

Abstract: Neuromorphic Computing surpasses conventional von Neumann architectures in terms of energy efficiency, parallelisation, scalability, and stochasticity. Given the inherent structure of ...
Bleeping Computer

APT37 hackers use new malware to breach air-gapped networks

North Korean hackers are deploying newly uncovered tools to move data between internet-connected and air-gapped systems, spread via removable drives, and conduct covert surveillance. The malicious ...
IEEE

Pseudo-Siamese Neural Network for Bed-Exit Detection With Low-Resolution Sensors

Abstract: Elderly individuals with lower limb weakness are at a high risk of falling when they are attempting to exit their beds. Thermal imaging provides privacy protection and operates independently ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...