AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

Living brain cells grown in a lab have been wired into computers to perform machine learning tasks, pointing toward a future ...

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

Brain-Computer Interfaces (BCIs) are redefining how humans interact with machines by enabling the direct translation of neural activity into meaningful control outputs. By leveraging advances in ...

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: ...

Federal immigration agents flooding U.S. streets are using a new surveillance tool kit whose increasing use on observers and bystanders is alarming civil liberties advocates, lawmakers and activists.

Artificial intelligence (AI) and machine learning (ML) are rapidly changing the landscape of almost every environment. Despite the burgeoning attention on this subject matter, limited human-centered ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...