In today's volatile business landscape, relying on sporadic flashes of inspiration can be a fragile strategy for maintaining ...

Abstract: Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

College students are being wrongly accused of using AI to cheat on their assignments by their university — based, in a headache-inducing twist, on the findings of another AI system. A student named ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Standing water was a constant problem—see how a box blade reshaped the driveway to improve drainage once and for all. I Tracked Down The Girls Who Bullied Me As A Kid. Here's What They Had To Say.

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

As a school nurse in a rural district in Livingston, California, Lori Morgan's job usually involves scraped knees and vision tests. But she couldn't help putting one more task on her to-do list: ...

Cognition is the cornerstone of human potential, enabling knowledge acquisition, processing information, solving problems, and finding meaning. By sharpening cognitive skills—reasoning, ...

Complex organizational problems and chaos are silent killers of productivity and innovation. In today’s fractured work environment, they are more prevalent than ever. Political transitions, ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...