The Future of Machine Learning on Corrosion
Release date: August 28, 2020
In this podcast, NACE members Joe Mazzella and Tom Hayden of Engineering Director, Inc. join the MP Interview Series to discuss the work they are doing to combat corrosion through the use of machine learning. They provide a brief overview of their project that involves estimating corrosion growth rates in underground pipelines; details about the computer vision app they are creating; and an update on NACE task group TG 589. More information on their work is available in the August 2020 issue of Materials Performance (MP).