Uncover how mixed-signal ICs are transforming medical wearables with smaller and more power-efficient sensor integration, ...

Imagine being able to compose an email or steer a wheelchair directly with your thoughts. For millions of people living with ...

On Thursday, just three days before the 49ers’ Week 4 matchup with the Jaguars, San Francisco defensive coordinator Robert Saleh had his media availability and set the record for most fascinating ...

Project aims to develop a quantum machine learning framework for classifying different attention states from EEG brain signals. Using quantum computing, we may be able to understand complex ...

Design a lightweight machine-learning pipeline that analyzes single-channel frontal EEG data (Fp1/Fp2) and accurately detects driver drowsiness in real-time. 50 Hz IIR notch filter + 0.5–30 Hz ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Introduction: Schizophrenia is a severe psychological disorder that significantly impacts an individual’s life and is characterized by abnormalities in perception ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...

Abstract: Many intriguing applications, such as the ability to move prosthetic limbs and enable more fluid man-machine contact, may be made possible by automatic interpretation of brain readings. The ...