Privacy Sandbox, originally pitched as an alternative to cross-site ad tracking, will not show a standalone prompt. Instead, Chrome is readying a different “informed choice.”

Learn about how Copilot Studio’s computer use agents bring the system new functionality and more benefits to users.

Even if you have no tech experience, you can learn how to code from courses that are designed specifically for beginners. In addition to this bundle, you get Microsoft Visual Studio Professional included in the price.

Slopsquatting and vibe coding are fueling a new wave of AI-driven cyberattacks, exposing developers to hidden risks through fake, hallucinated packages.

Legacy languages, such as Delphi and COBOL, are growing in popularity among developers, according to the latest TIOBE rankings.

The market is a bit defensive,” TIOBE Software CEO Paul Jansen said, noting people cling to the familiar top 20 programming languages.

The Nova Sonic voice AI model can respond to the speaker’s words, as well as their tone, inflection, and pacing.

The government’s proposal suggested a system that permits AI developers to use creators’ online content to train their models unless rights holders explicitly choose to opt out.

The Llama 4 series is the first to use a “mixture of experts (MoE) architecture,” where only a few parts of the neural network, the “experts,” are used to respond to an input.

The attackers pose as legitimate remote IT workers, looking to both generate revenue and access sensitive company data through employment. "Europe needs to wake up fast,” according to Google’s Jamie Collier.

Bill Gates wrote, “Before there was Office or Windows 95 or Xbox or AI, there was Altair BASIC."

Find out how to provide OpenAI with your input about its upcoming open language model, which Sam Altman stated will be a "reasoning" model like OpenAI o1.

Anthropic’s Model Context Protocol is effectively a universal language that can be used to develop two-way connections between a wide range of AI models and third-party data sources.

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.