A central challenge in recommendation systems is incentivizing exploration, encouraging users to select options that help the platform learn the information needed for better future decisions. In some ...

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

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, ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

AI could learn to form digital cartels in an effort to maximize profits Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market conditions ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Whether it is chatbots for customer interaction, neural ...

A new kind of machine-learning algorithm just mastered a couple of throwback video games that have proved to be a big headache for AI. Those following along will know that AI algorithms have bested ...

An algorithm commonly used by hospitals and other health systems to predict which patients are most likely to need follow-up care classified white patients overall as being more ill than black ...