The weather and climate science AI revolution isn’t revolutionary

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

First AI-designed 'universal vaccine' tested in humans: UK researchers

A vaccine targeting a broad range of viruses that was designed using artificial intelligence had a "modest" effect on immune ...
Memeburn

What Is Machine Learning? How It Works, Types & Real-World Uses (2026)

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
The New York Times

There’s a New American TikTok. What Does That Mean for You?

The popular short form video app has a new corporate structure in the United States, which could result in some changes for the 200 million Americans who use TikTok. By Emmett Lindner TikTok has new ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Quanta Magazine

The Game Theory of How Algorithms Can Drive Up Prices

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
Frontiers

Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss

This study included 333 female patients with infertility and 319 female patients with pregnancy loss, as well as 327 healthy individuals for modeling; 1264 female patients with infertility and 1030 ...