One of the more remarkable traits of generative AI is its ability to produce creative work, whether it’s text, images or video. This capability has spurred businesses to experiment with the technology ...

Enterprises are accelerating the shift of generative AI from pilots into production, but outcomes remain inconsistent. While ...

As someone far from code development (I do large scale systems of systems engineering, which is 50/50 soft skills and enough technical domain knowledge to ask the right SMEs the right questions, find ...

I use GitHub Copilot extensively for generating boilerplate code (mostly Terraform, some Python and PowerShell as well) and it is generally magnificent at this. I could easily justify spending a ...

A four-step process teaches students how to use GenAI tools to brainstorm ideas, understand and act on feedback and edit ...

Does that sound familiar? A seemingly harmless to‑and‑fro with a GenAI model. You paste company text into ChatGPT and type “Help me review this.” Within seconds, you have an analysis of a confidential ...

At science organizations like national laboratories, the use of generative AI has the potential to accelerate scientific discovery in critical areas. But with new tools come new questions: A recent ...

A report from a code analysis vendor compares the details behind genAI rollouts between the two verticals, revealing that 61% of retail genAI code repositories show active development, compared to 22% ...

Generative AI zoomers say we should use GenAI for everything, and GenAI doomers say we shouldn’t use it for anything. Most of us are in the middle of these two extremes.