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 ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

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 ...

This article breaks down the machine learning problem known as Learning to Rank and can teach you how to build your own web ranking algorithm. This quote couldn’t apply better to general search ...

A BMC Pediatrics study finds that a random forest model combining serum creatinine and cystatin C, further improved by adding ...

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

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 ...

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 ...

Algorithms now make lots of decisions, but they have their own biases, writes Wharton’s Kartik Hosanagar in his new book. When we buy something on Amazon or watch something on Netflix, we think it’s ...