More than three years after ChatGPT debuted, AI has become a part of everyday life — and professors and students are still ...

Discover how AI is changing business operations, along with its downsides and challenges, including ethical concerns, skill gaps, and unhappy customers.

Linux kernel maintainers propose a less painful process for identifying developers. See how it can make Linux code safer than ever.

Follow ZDNET: Add us as a preferred source on Google. Virtual assistants will soon be as commonplace as smartphones -- in many parts of the world, they already are. Most smartphones have a built-in ...

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...

Lawyers with the state’s Department of Law are working with prosecutors at the Municipality of Anchorage to more aggressively go after serious shoplifters. Retail theft is the focus of what leaders ...

Dhruv Bhutani has been writing about consumer technology since 2008, offering deep insights into the Android smartphone landscape through features and opinion pieces. He joined Android Police in 2023, ...

SIOUX FALLS, S.D. (KELO) – The Sioux Falls School District is asking for members of the community to take part in a task force. Superintendent Jamie Nold said the goal of the task force would be to ...

Credit: VentureBeat made with Google Gemini 3 Image / Nano Banana Pro One of the biggest constraints currently facing AI builders who want to deploy agents in service of their individual or enterprise ...

WASHINGTON, Jan 22 (Reuters) - Republican U.S. lawmakers plan to create a task force to study potential year-round sales of higher-ethanol E15 gasoline blends in the U.S., after an attempt to pass ...

The North Korean threat actors associated with the long-running Contagious Interview campaign have been observed using malicious Microsoft Visual Studio Code (VS Code) projects as lures to deliver a ...

This revised paper provides a valuable and novel neural network-based framework for parameterizing individual differences and predicting individual decision-making across task conditions. The methods ...