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

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

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

We're a step closer to entering an operating theater without any human life besides ours, following the world's first surgery ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

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

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Despite the recent announcement from the Department of Defense (DoD), I posit that Artificial Intelligence (AI) cannot ...