In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...

Abstract: Activity recognition is the task of identifying human actions and physical activities. It can have applications in broad areas including medical, sports and fitness, healthcare, behaviour ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Abstract: Existing Zero-Shot Learning (ZSL) approaches for sensor-based Human Activity Recognition (HAR) often rely on external semantic information—such as attribute annotations or textual ...

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 ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Generative artificial intelligence has exploded into the mainstream. Since its introduction, it has transformed the ways individuals work, create, and interact with technology. But is this adoption ...

Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The ...