Explore the parallels and differences between AI architectures and the human brain's design and functionality in processing ...

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

Everyone has access to the same AI models; the real advantage belongs to those who know how to iterate past the first draft.

In recent years, integrated platforms equipped with microcontrollers (with Arduino probably being the best-known brand) have been gaining popularity.

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.

This practical guide explains how to design agentic workflows using a simple inputs, tasks and outputs framework, so any business leader can move from idea to execution.

For the past few years, prompt engineering has become one of the most important skills in the AI era. Courses were built around it. Job titles were created for it. Entire communities formed to share ...

For decades, the IT services industry has relied on the billable-hours model, which worked well when scale was measured in ...

Most AI still "sees" the way a poster sees, as a flat picture, but not Christoph Lassner of World Labs. That works for captions and filters ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...