“The idea that you can take a four-hour online course and then use machine learning in your scientific research has become so overblown,” Kapoor says. “People have not stopped to think about ...

While some AI techniques (such as expert systems) use other approaches, machine learning drives most of the field’s current progress by focusing on one thing: using algorithms to automatically improve ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

The researchers fed more than three-dozen variables into their machine learning algorithms: straightforward ones like training duration and number of calories consumed, as well more convoluted ...

Carson Holgate is training to become a ninja.. Not in the martial arts — she’s already done that. Holgate, 26, holds a second degree black belt in Tae Kwon Do. This time it’s algorithmic.

Machine-learning as a technology is, without doubt, the force that will be shaping our digital world for years and years to come, making it smarter and more autonomous, and sometimes taking our ...

We use a machine learning technique called conformal prediction. Conformal prediction is like a wrapper around an existing, already trained machine learning algorithm that adds an uncertainty ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...