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 ...

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.

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

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

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.

Discover the power of machine learning to analyze and make predictions on huge data, improve decision-making and enhance automation processes.

Twitter’s recommendation algorithm is now on GitHub Elon Musk said he expects people to find "a lot of mistakes" in the code.

Twitter made its recommendation algorithm open source on Friday. Here is a look at how tweets appear on a user’s “For You” feed.