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 ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

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, ...

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

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

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 ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.