Aria Gen 2 represents a bold leap forward in wearable research tools, combining advanced sensor systems, robust on-device intelligence, and unmatched ...

Machine learning (ML) and artificial intelligence (AI) have revolutionized battery diagnostics by sifting through volumes of ...

Data extraction focused on device types, sensor quality, compliance with health standards, and the predictive algorithms employed ... The search strategy was developed using keywords and terms ...

Researchers at ETH Zurich develop smart textiles that use acoustic waves instead of electronics to measure touch, pressure and movement precisely. SonoTextiles work with glass microfibres that conduct ...

Some communities use their monitoring data to provide public alerts ... A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds ...

Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore Department of Materials Science and Engineering, National University of Singapore, ...

National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...

Now, scientists are using advanced ... they trained a collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to determine the ...

Abstract: This paper is focused on the development of an intelligent system to identify if one person is stress or not stress using ... An intelligent system was developed using machine learning ...

“By having the AI on-device, you can actually watch and observe these more sophisticated conversations and then detect their scams.” In a screenshot of the Scam Detection feature provided by ...

This project aims to develop a deep learning model capable of predicting the emotional state (stress/no stress) of an individual based on their ElectroCardiogram (ECG) signals. The model has been ...