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

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

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

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.

Deep learning is driving the rapid evolution of algorithms that can automatically find and trace cells in a wide range of microscopy experiments.

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

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 ...

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 ...

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

How does statistical physics help you understand computer science? What is usually taught to students about theoretical computer science is to focus on the worst case — instances of a problem that ...

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 ...