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 ...
What’s happened? If you have ever wished your shower could do the hard work for you, a company from Japan has finally delivered the gadget of your dreams. A new human washing machine, now officially ...
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 ...
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 ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
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