Should employees be allowed to place bets with prediction markets? I’m not talking about insider trading of your own stock.

Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...

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, ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Advisors can provide better service when they offload time-consuming tasks Rebecca Rosenberg has 10+ years of experience as a writer and content strategist. She has written dozens of articles on ...

We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...

The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...

There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard ...

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, ...

One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

Abstract: Flight delay is a fundamental problem present in the global aviation system. Delay-inducing disruptions are caused by various reasons, including increased global connectivity / dependency, ...