Quantum chaos used to be the kind of phrase that made experimental physicists wince, a shorthand for fragile devices going off the rails when too many particles started talking to each other. Now a ...

I think that 2025 was the year where the algorithm completely took over, so followings stopped mattering entirely,” LTK CEO ...

Today, those shouts have been replaced by quiet screens and lightning-fast computers. The evolution of stock trading has turned what was once a noisy, human-driven process into a digital network ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

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.

Michael A. Little does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

Share on Pinterest Human brain cell evolution may be linked to autism, neurodiversity, according to a new study. Image credit: Lauren Lee/Stocksy A new study concludes that the speed at which the ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...