Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...

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

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 ...

Google was accused in a lawsuit of using its Gemini AI assistant to unlawfully track the private communications of users of its Gmail, instant messaging and videoconference programs. In the past, ...

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 ...

Editor's Note: This is an excerpt from WBUR's weekly health newsletter, CommonHealth. If you like what you read and want it in your inbox, sign up here. With schools back in session, many teachers, ...