AZOM on MSN12d
Machine Learning Used to Optimize Polymer Production
Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...
C&EN19d
Using Machine-Learning-Aided Computational Fluid Dynamics to Facilitate Design of Experiments
The design of novel reactors and chemical processes requires an understanding of the fundamental chemical-physical processes at small spatial and temporal scales and a systematic scale-up of these ...
mccormick.northwestern.edu2y
Industrial Engineering: Leading Decision-Making in the Age of Machine Learning
The Department of Industrial Engineering ... and with the same resources. The design allows REFIT to evolve and continuously improve its predictive abilities, while not disrupting the deployment of ...
mccormick.northwestern.edu3y
IEMS 455: Machine Learning
Interest in working with large data sets, desire to experiment with machine learning models, and to learn and implement modern optimization methods. The course is recommended for graduate students (or ...
EurekAlert!5d
Pusan National University scientists designed a new model to predict metal wear for safer, lighter cars and planes
In a new breakthrough, researchers from Pusan National University developed a hybrid model that combines machine learning and ...
Nature13d
Machine learning articles from across Nature Portfolio
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Multimodal machine learning model increases accuracy of catalyst screening
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...
Better drugs through AI? Insitro CEO on what machine learning can teach Big Pharma
Despite billions poured into research, new medicines still typically take a decade or more to develop.