Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

When a company’s data is labeled incorrectly, machine-learning models can't use it correctly. Nvidia wants to patent a ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

MIT engineers develop super-strong 3D printable aluminum alloy - using machine learning to identify the ideal composition.

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce two-dimensional black-and-white scans of fetuses that can reveal key insights, including ...