The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...

The industry's aspirations for machine learning are running ahead of the data plumbing required to support them.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...