LAFAYETTE, La. (KPEL News) - As the temperatures finally drop across Louisiana, there’s no better time to dive into comfort cooking. With a crispness in the air, gumbo pots are coming out, and Cajun ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

A head-to-head showdown puts the classic roux method against the egg technique to find the best way to make mac and cheese. What to know about the controversial ‘Arctic Frost’ provision tucked into ...

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 ...

Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom ...

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 ...