This article is about a real event. It is not satire, parody, or metaphor. In late April 2026, OpenAI publicly explained why ...

Compare the best AI image generators, including Gemini, ChatGPT, Midjourney, Firefly, Ideogram, FLUX, Recraft, Stable ...

Astronomers have used advanced machine learning to mine archival data from NASA’s TESS mission, uncovering over 10,000 new exoplanet candidates missed by earlier searches. The T16 project reprocessed ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

Somewhere in the southern sky, a giant planet roughly the size of Jupiter whips around a faint star every few days, so close ...

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

Background The standard of care for neovascular age-related macular degeneration (nAMD) is repeated intravitreal injection ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same.

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...