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

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...

In 2021, a unit of healthcare giant Johnson & Johnson announced “a leap forward”: It had added artificial intelligence to a ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

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

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...