Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Scientists are turning to machine learning to help with off-world sample analysis. "This machine learning algorithm can help us by quickly filtering the data and pointing out which data are likely to ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Apple may not be as flashy as other companies in adopting artificial intelligence features, nor does it have as much drama surrounding what it does. Still, the company already has a lot of smarts ...