In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The unveiling of the algorithm comes after an unknown user posted portions of Twitter's source code to GitHub.

Twitter has published two separate GitHub repositories containing the source code for its recommendation algorithm and some of the machine learning (ML) models powering it.

This leads to improvements in complex-system simulations or tasks that involve multiple variables in quantum machine learning, making it ideal for applications across various scientific disciplines.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

Acknowledging the pain points of the NOVA classification system, researchers have developed a machine learning algorithm to accurately predict the degree of processing for any food. The extent to ...

Nearly a year after Elon Musk first floated the idea of making Twitter’s recommendation algorithm public, the company has posted the source code for its recommendation algorithm on GitHub. In a ...