On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Deep inside the brain, every thought and memory begins with a burst of electrical activity. For years, scientists have tried to watch that activity in real time by shining lasers into the brain. Now a ...

Abstract: This paper presents a method for controlling the prosthetic leg using surface Electromyography (sEMG) signals, Artificial Neural Network (ANN), and Super Twisting Sliding Mode Control ...

Compromised home networks are an increasing concern. Most recently we've written about the SantaStealer malware, budget Android TV boxes doubling as botnets, and compromised routers. Fully securing ...

Intelligent Systems course project (MSc in Computer Engineering @ Unversity of Pisa). Design and development of a MLP, RBF networks and Fuzzy System to estimate person's affective state. Design, ...

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...

The brain is never completely at rest. Even without external input, it produces spontaneous neural activity that creates synchronized fluctuations across different regions - a process known as ...

Introduction: Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI ...

A proposed federal bill aims to ensure that the brain-related data collected by wearables and other devices is safeguarded to protect individuals’ privacy, prevent exploitation and build public trust ...