This course is designed for students from various disciplines that use data, statistical and machine learning models to inform decision-making. The course is largely self-contained and reviews the ...

Simon will be discussing the paper Using Machine Learning to compute all constrained Pareto optimal carbon tax rules in a stochastic OLG mode l. Abstract This work presents a novel computational ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

Advised by ECE professor Andrew Teel, Crisafulli studies stochastic approximation theory applied to hybrid dynamical systems. Although theoretical, the work can be applied to establish performance ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...