the underlying issue is often that people don’t trust algorithms and machine learning because they don’t have a complete understanding of how they actually work. So let’s go over a basic ...

Machine learning is a subset of artificial intelligence that allows computers to learn from their own experiences — much like we do when picking ... three factors: the algorithm itself, the ...

New findings published in Nature PhotonicsOne of the current hot research topics is the combination of two of the most recent ...

It’s important to understand not just that the program can do a job but how it’s getting its answers. If a machine learning algorithm involves a black box, you can’t really be sure it’s ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

For example, machine learning can be used to detect defects in products before they reach consumers. It can also be used to automate repetitive tasks such as assembly line work. And finally ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.