Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms ...

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

Computer science is an ever-evolving field that impacts almost every aspect of our daily lives, yet understanding how its ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that ...

Ohio State University. "Future AI algorithms have potential to learn like humans." ScienceDaily. ScienceDaily, 22 July 2023. <www.sciencedaily.com / releases / 2023 / 07 / 230720124956.htm>.

As our artificial intelligence algorithms continue to struggle with metacognition and causal inference, it is essential that we feed them the right data.

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 ...

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.

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.