It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

This article looks at the common applications of machine learning that offer excellent solutions in supply chain management. What is machine Learning? Machine learning is a type of artificial ...

A new AI algorithm can associate brain activity with certain behaviors, an advancement that can help improve brain-computer interfaces and find new patterns in neural activity.

Continual learning is when a computer is trained to continuously learn a sequence of tasks, using its accumulated knowledge from old tasks to better learn new tasks. Yet one major hurdle ...

For artificial intelligence to realize its potential — to relieve humans from mundane tasks and eventually invent new solutions to our problems — computers will need to get better at seeing the world ...

Sophisticated computer algorithms will be used to try to translate the patterns of brain cells involved in speaking into speech. To turn the signals from nerve cells into the intended speech, the ...

Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

It’s not that hard to do your exploratory data analysis and then have the computer try all the reasonable machine learning algorithms to see which ones work the best.

Pigeons use a strategy to solve problems that's common in machine learning algorithms -- but a matchup between a bird and a computer probably wouldn't be fair.