Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

We’re racing towards a future in which devices will be able to read our thoughts. You see signs of it everywhere, from brain-computer interfaces to algorithms that detect emotions from facial scans.

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

Hamza Tariq has received funding from the Natural Sciences and Engineering Council (NSERC) of Canada. University of Waterloo provides funding as a founding partner of The Conversation CA. University ...