In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

To make the most of machine learning you have to train your models right. Here's how to get reliable results from your data.

To address this issue, the researchers applied the Random Forest machine learning model, which enables the simulation of missing or unmeasured geochemical elements. This innovative approach ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

Explore the five major platforms for developing machine learning models, their features, and how they support AI advancements.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.

Normally, developing a machine learning model would require several rounds of training, using the power of a cluster of linked computers.