A noncontact virtual reality (VR) human-machine interface (HMI) was developed by electret-based triboelectric sensor (ETS), which could accurately recognize threedimensional (3D) gestures and largely ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people connect with each other—to better understand how people interact online.

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

WASHINGTON (KPTV) - U.S. Senators Ron Wyden and Jeff Merkley of Oregon introduced legislation Friday that would ban federal immigration agencies from using facial recognition and other biometric ...

As the use of artificial intelligence across medicine increases nationwide, The Daily Pennsylvanian spoke to professors, doctors, and researchers at the Perelman School of Medicine about how they are ...

The grocery store chain Wegmans, among other retailers, is using face recognition on its customers — and scanning their faces for resemblance not only to accused shoplifters but also to people whose ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Abstract: Respiratory patterns are important indicators of human health, and using AI models to analyze channel state information (CSI) for non-contact respiratory detection shows great potential.

Abstract: We present a real-time human activity recognition (HAR) system using a single Inertial Measurement Unit (IMU) on an Arduino Nano 33 Bluetooth Low Energy (BLE) to classify five activities: ...