AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Application of Evolutionary Algorithms to Enhance the Efficiency of Neural Networks and Machine Learning Algorithms

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...

SIFT HEALTHCARE ANNOUNCES PARTNERSHIP WITH HARTFORD HEALTHCARE TO APPLY AI AND ADVANCED ANALYTICS TO REDUCE REIMBURSEMENT RISK

Strategic partnership focuses on preventing denials and other adverse payment outcomes earlier in the revenue cycle. MILWAUKEE and HARTFORD, Conn., Feb. 11, 2026 /PRNewswire/ -- Sift Healthcare, a ...
IEEE

A Multi-Strategy Enhanced Slime Mould Algorithm for Engineering Optimization Applications

Abstract: To address engineering challenges such as multi-constraint conflicts, nonlinear coupling, and high material costs, this paper proposes a Multi-Strategy Enhanced Slime Mould Algorithm (MESMA) ...