Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

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

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 ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

Christopher Kanan is building algorithms that can continuously learn over time — the way we do.

However, these must have skin contact and are typically worn on the finger. Pulse-Fi works remotely, allowing you to monitor ...

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 ...

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 ...

In applications like routing, job scheduling, caching, etc., requests arrive sequentially, and the goal of the system is to handle requests as they arrive, while optimizing an appropriate overall ...