In motorsport, there’s nowhere to hide as AI becomes new CFD tool

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...
Opinion
HackadayOpinion

Why Model Collapse In LLMs Is Inevitable With Self-Learning

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...
IEEE

Phase Formation in Vacuum Arc Melted High Entropy Alloys: Insights From Machine Learning and Experimental Validation

Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...
GitHub

RitzwiK/F1-Explorative-Data-Analysis

F1_Analytics/ │ ├── main.py # Application entry point ├── config.py # Configuration settings ├── data_loader.py # Data loading utilities ├── visualization.py # Chart components ├── analysis.py # ...
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

Indonesia is a disaster-prone country, where most of Indonesia's territory is at high risk of natural disasters (BNPB Disaster Risk Index, 2021). Based on the perspective of Geography, Geology, ...
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 ...