Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Reelgood's cross-platform data helps Philo track trending content and guide content acquisition decisions based on viewer ...

Pacvue announced today the launch of Pacvue Agent, the next evolution of its AI Outcome Engine that moves commerce media from analysis and explanation to recommendation and governed execution within a ...

CNN hired Chris Wiggins, former chief data scientist at the New York Times, for a newly created role as head of machine ...

Modern ERP platforms are becoming smarter, more adaptive, and far more predictive, unlocking capabilities that were nearly impossible just a few years ago. For organizations looking to stay ...

This week, the company (which, it should be noted, is owned by Rupert Murdoch’s Fox Corporation) decided to AI-ify by ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

Abstract: Because of such growth of personalized financial services, there comes the demand of recommendation systems—which use machine learning algorithms to suggest tailored products, which in turn ...

The most effective forms of control do not feel like control at all. They feel like a recommendation. On social media platforms, buttons such as “not interested” and engagement signals appear to grant ...

SmartAnilox automatically identifies the specific anilox to achieve the lowest Delta E, eliminating guesswork that plagues color matching in the pressroom SmartAnilox provides immediate, actionable ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...