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 ...
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.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 ...
news.pantheon.cmu3d
Multimodal Machine Learning Model Increases Accuracy
Researchers in the Department of Mechanical Engineering have developed a novel machine learning model combining graph neural ...
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 ...
Digi Times2d
STMicroelectronics to boost AI at the edge with new NPU-accelerated STM32 microcontrollers
STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, is ...
Multimodal machine learning model increases accuracy of catalyst screening
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...