Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...
Abstract: Nowadays, human activity recognition plays an essential role in the application of human-computer interaction. Comprehensive systems, however, mostly rely on wearables, video cameras, and ...
Morning Overview on MSN
This 'living' computer blurs the line between brains and machines
In a lab rack that looks more like a high-end audio system than a server, clusters of human brain cells are quietly learning ...
The 2025 human washing machine bears only a slight resemblance to that Sanyo prototype, and uses technology unheard of even a few years ago. At its core is its microbubbles system, something that ...
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 ...
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 ...
Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
Pedro DiNezio receives funding from the U.S. National Science Foundation, National Oceanic and Atmospheric Administration, and WTW Research Network. Timothy Shanahan has nothing to disclose. This ...
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 ...
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