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

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 ...

Steam is deploying a new, AI-powered algorithm to make content recommendations in gaming. Will it perform better than the old, tag-based system?

Chinese cloud vendor releases "core codes" of its Alink platform on GitHub, uploading a range of algorithm libraries that support processes for machine learning tasks, such as online product ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Steam uses machine learning for its new game recommendation engine Neural network analyzes billions of playtime hours to make game suggestions.

Like with movies, I don’t have one favorite machine learning (ML) algorithm, but a few favorites, each for its own reason. Here are some of my top few algorithms and models: ...