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 ...

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a writer with CNET covering artificial ...

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 ...

🧠 Algorithm Visualizer / DSV is a web-based tool 🌐 that lets users create 🛠️, manipulate 🔄, and visualize 👁️‍🗨️ fundamental data structures 📊 and sorting algorithms 🔢. It brings life to arrays ...

Abstract: This paper presents an automated design methodology to improve the radiation performance of microstrip antenna arrays using boosting-based machine learning (ML) algorithms in the X-band ...