Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?

Consulting engineers have always had to deliver services far beyond design, but today’s data-driven projects are giving firms such as WSP/Power Engineers and Jacobs fresh opportunities to turn client ...

Web scraping tools gather a website's pertinent information for you to peruse or download. Learn how to create your own web ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

Four US tech companies are set to spend a combined $650 billion on AI in 2026, fueling data center expansion and investor unease.

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

I've been testing AI workflow builders for the past few months to figure out which ones are worth using. Here are the platforms that stood out and what you shou ...

Meta Description: Complete guide to Microsoft Copilot for Education. Learn about the Teach feature, Learning Accelerators, ...