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 ...

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 ...

Quantum computer succeeds where a classical algorithm fails Quantum computers coupled with traditional machine learning show clear benefits.

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.

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 ...

Lenka Zdeborová studies how the physics of matter can help model the behavior of machine learning algorithms.

The field of online algorithms focuses on developing and analyzing such systems, and ensuring that they are "competitive" against the best solution in hindsight. While online algorithms have been ...

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

Students who meet the admissions criteria can earn this certificate by completing nine credits of graduate-level courses in computer science, with course offerings including computer vision, machine ...