A team of engineers at Rice University and Kyung Hee University has developed a soft, shape-shifting mechanical surface that ...

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...

Abstract: Nowadays, humans can recognize their daily activities by using smartphone activity recognition. Numerous studies have been conducted to identify activities, but for some reason, the ...

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 ...

A spokesperson for Wegmans defended the use of facial recognition at its Brooklyn and Manhattan locations, saying the popular supermarket chain only deploys the technology on a “case-by-case basis” at ...

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: ...

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 ...