The central issue is not whether autonomous AI should be used in healthcare. It is whether healthcare systems can develop the ...

A weekly “what to stream” column does the one thing a recommendation engine cannot — treat a film as an authored work, not a ...

A randomized trial showed that early nephrology consultations triggered by real-time machine-learning risk scores failed to prevent increases in peak serum creatinine among hospitalized patients at ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Abstract: Recommendation systems play a pivotal role in delivering user preference information. However, they often face the challenge of information cocoons due to repeated content delivery, ...

Abstract: The e-learning recommender system in learning institutions is increasingly becoming the preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering personalised ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

Today, X’s feed is shaped by heuristic algorithms. These are sets of rules created by engineers. They decide what posts get more attention based on likes, shares, and activity history. Big creators ...

Spotify has over 100 million tracks available for listeners, and the streaming audio company is increasingly investing in AI to personalize song recommendations. Its recently launched AI DJ aims to ...

Israeli intelligence sources reveal use of ‘Lavender’ system in Gaza war and claim permission given to kill civilians in pursuit of low-ranking militants The Israeli military’s bombing campaign in ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...