Go behind the scenes with the Jane Goodall Institute as it shapes the future of research and responsible innovation with AI

In the conclusion of this three-part series, an ambitious idea becomes a reality, uncovering hidden patterns in decades of historical ...

Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Machine learning enables real-time analysis of iron oxide thin film growth in reactive magnetron sputtering

Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...
IEEE

Reducing Transmission Cost of Distributed Principal Components Analysis in Wireless Networks With Accuracy Guaranteed

Abstract: As a classic data processing tool, Principal Component Analysis (PCA) has been widely applied in various data analysis applications. To mitigate the high computational complexity of PCA on ...
IEEE

Efficient PMU Data Compression Using Enhanced Graph Filtering Enabled Principal Component Analysis

Phasor Measurement Units (PMUs) are state-of-the-art measuring devices that capture high-resolution time-synchronized voltage and current phasor measurements in wide area monitoring systems (WAMS).