Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Driving can be a monotonous experience. Sometimes, we get into the car and drive, with just a rough estimate of when we should arrive. However routine the ...

Documentary filmmaker Valerie Veatch joined IndieWire's Sundance Studio to discuss her artificial intelligence essay film, "Ghost in the Machine." ...