Tech Xplore

Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
IEEE

Entropy and Memory Aware Active Transfer Learning in Smart Sensing Systems

Abstract: Automated Human Activity Recognition (HAR) stems from the requirement to seamlessly integrate technology into daily life, to enhance user experience, improve healthcare, provide improved ...

NOAA's new AI weather system promises faster forecasts with less computing power

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...
Centrum Wiskunde & Informatica

Prestigious European grant to improve calculations of turbulent flows

Benjamin Sanderse has received a major European grant to tackle a problem that defeats even supercomputers: reliably ...
GitHub

Maximum Entropy Deep Inverse Reinforcement Learning

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...
IEEE

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...
Frontiers

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

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