CoinDesk

Move over bitcoin and quantum risks. Anthropic's Mythos AI could have major implications for DeFi

Claude Mythos Preview identified thousands of zero-day vulnerabilities across every major operating system and browser, ...

Improving air temperature forecasts one to five weeks in advance without new model simulations

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...
speedwaydigest.com

Formula 1® revs up global education programme, Learning Sectors, in collaboration with the British Council

Following a successful pilot year that reached more than 150,000 young people across the UK, India, Brazil, and South Africa, Formula 1 is extending its collaboration with the British Council for two ...
EurekAlert!

From trial-and-error to intelligent design: Machine Learning boosts a breakthrough in the performance of BaTiO3-based High-Entropy energy-storage ceramics

Dielectric ceramic capacitors are essential core components for electronics, smart grids and new energy vehicles, prized for their high power density. As electronic devices move toward miniaturization ...
IEEE

Integration of Spatial Entropy and Quartile Based Formula on Multi-Schema Machine Learning Model for Flood Disaster

Abstract: The high level of flood disasters in Central Java Province is why this study raised predictions of the potential for flood disasters in the Central Java Province area. In disaster situations ...
Scientific Research Publishing

Rubinstein, R., & Kroese, D. (2004). The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine-Learning. Springer-Verlag.

ABSTRACT: The objective of this study is to assess the trends and predict the maximum daily rainfall using Benin century rainfall gauges. The Pettitt, Buishand, and entropy breakpoint detection tests ...
C&EN

Predicting and Analyzing Nitrate Adsorption on High-Entropy Alloys Based on Pair Distribution Function Using a Hybrid Machine Learning Framework

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

Improved multi-scale divergence entropy combined with extreme learning machine classifier for rotating machinery fault recognition

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...