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

In recent years, machine learning (ML) has significantly reshaped the retail and e-commerce sectors. Author Nilesh Singh's ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

it can be fed into a machine-learning algorithm. Machine learning is the process that powers many of the services we use today—recommendation systems like those on Netflix, YouTube, and Spotify ...

Netflix uses machine learning and algorithms to help break viewers ... couple of thousand" – and it’s these that affect what recommendations pop up to the top of your onscreen interface ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Machine learning can also be used for preventative care, such as identifying risk factors for disease and providing tailored recommendations ... process by training algorithms to identify defects ...

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. Most of the ...