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

Discoveries can come from the most unlikely places — at least, that's what one high schooler found out, after finding nearly 1.5 million new objects in space.

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

Artificial intelligence is colliding with energy at exactly the moment the world can least afford a power crunch. Data centers, electric vehicles and industrial electrification are driving demand ...

Amidst today’s modern battlefield, most people would only think of Soldiers swinging grappling hooks and probing the ...

This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...

One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

A nostalgic hit built out of vintage pop-culture references captured the “If you liked that, you’ll like this” spirit of Netflix. In the summer of 2016, streaming TV was still figuring itself out.

In 2025, the Instagram algorithm has become more advanced than ever, using artificial intelligence and machine learning to decide what content users see in their Feeds, Reels, Stories, Explore pages, ...