Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

LightGBM Prediction Algorithm Based on Bayesian Optimization and Its Application

Abstract: Under the background of the era of artificial intelligence, predicting product demand through machine learning can effectively improve the production and sales benefits of enterprises. Based ...
IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
AZoSensors on MSN

AI maps heat inside steelmaking’s critical sintering process beds

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
Frontiers

Concentration monitoring and dose optimization for infliximab in Crohn’s disease patients: a machine learning-based covariate ensemble model

Background: Trough concentration of Infliximab (IFX) was associated with its efficacy and toxicity. However, traditional therapeutic drug monitoring often results in suboptimal outcomes because dose ...