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

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

E-commerce giants are increasingly turning to machine learning (ML) techniques to ensure that their products reach the right audience at the right time, optimizing product discoverability and ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...