Announcing the Launch of Machine Learning: Engineering
We are excited to announce the launch of Machine Learning: Engineering, a new open-access journal from IOP Publishing. This journal is dedicated to the application of machine learning, artificial intelligence, and data-driven computational methods across all areas of engineering.
Building on the success of the established journal Machine Learning: Science and Technology (MLST), Machine Learning: Engineering aims to bring innovative research to the forefront of engineering practice.
Meet Our Editor-in-Chief
Professor Jay Lee, University of Maryland, USA, leads the journal as the Editor-in-Chief. He said: “"Machine Learning: Engineering harness AI to bring about new technology and innovation and knowledge base of diversified of computational devices to impact broad applications with capabilities to predict and avoid the invisible problems in diversified engineering systems, ultimately creating a worry-free and resilient industrial system and workforce."“
Machine Learning: Engineering is now open for submissions. IOP Publishing is covering all open access charges, making this a valuable opportunity for researchers to maximize the visibility of their work.
Submit Your Research Today!
Visit IOP Science to learn more about the Journal (Machine Learning: Engineering) and submit your manuscript.