Scientists enhance smart home security with AIoT and WiFi
Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.
A trio of researchers at Carnegie Mellon University has taken the use of WiFi signals to identify people in a building to a new level, through the use of a deep neural network. Jiaqi Geng, Dong Huang and Fernando De la Torre suggest, in a paper they have posted to…
When it comes to managing assets throughout their lifecycle, business leaders know they need a comprehensive strategy in place to succeed. But they aren’t always clear on the strategic opportunities around parts inventory management and the role it plays in maintenance strategy. While asset management solutions monitor buildings, equipment, vehicles,…
An international team of researchers has put forward a framework that it argues can be used to answer one of the biggest questions facing artificial intelligence (AI) technologies: can AI be trusted? The framework offers an organized approach for tackling a complex subject that draws on a wide variety of…