It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse This is not an apple Image: Alamy Apr 5th 2023 | 6 min read ...

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 ...

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

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 ...

Ellen Zhong, a new assistant professor of computer science, has developed machine-learning techniques to obtain three-dimensional structures of proteins. She works with images captured using a ...

Although AI and machine learning (ML) algorithms are getting ever better at doing more with less, we still often need to bring together data from multiple sources for them to produce results that ...

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.