A new publication DOI 10.29026/oet.2025.250010 discusses how a photonic vibration perception system achieves stable ...
Loose-fitting e-textiles may offer superior motion tracking capabilities, enhancing recognition accuracy and prediction over conventional rigid sensors.
As artificial intelligence (AI) evolves beyond generative chat systems into agentic AI capable of autonomous action, a ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning," have remained unknown. A mysterious type of ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250010, discusses how a photonic vibration perception system achieves stable cross-individual recognition.
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: ...
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 ...
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