Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Reducing supply chain forecasting errors by 50% and ...

Factory automation plants utilize machine learning’s ability to understand and build mathematical models. These models, over time, learn to perform tasks on their own as opposed to being programmed to ...

Bottom line: Machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success, ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...