I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

A developer wants to build two gondolas and a cable car up to Bowen Peak in Queenstown (File photo). The developer behind a sprawling gondola, housing and tourism proposal in Queenstown has told ...

Mora has opened public access to its AI-native analytics platform, positioning itself as a data tool rebuilt for the AI era. The premise is direct: a person asks a hard revenue, churn, or product ...

Apple expanded its AI development tools with new intelligence frameworks and Siri AI integrations. New Core AI technology enables full-scale large language models to run directly on Apple devices.

Apple yesterday held its WWDC 2026 Platforms State of the Union, detailing a wide range of updates to its developer tools and platforms, headlined by a major expansion of the Foundation Models ...

With Monday's keynote behind them, Apple developers at WWDC 2026 shifted into the hands-on phase Tuesday as Craig Federighi, the company's senior vice president of software engineering, fielded ...

Follow ZDNET: Add us as a preferred source on Google. At WWDC 2026, Apple announced MacOS 27 "Golden Gate," the latest operating system for MacBooks launching this fall. It's mostly centered around ...

Microsoft has cut off access to dozens of its open source projects hosted on GitHub as it investigates how hackers apparently breached the projects and injected password-stealing malware into the code ...

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GitHub hosts a wide range of database repositories that support developers working with database systems, SQL tools, and modern data engineering workflows. These open source database tools help power ...

SAN FRANCISCO, June 2 (Reuters) - Microsoft on Tuesday announced a sweeping slate of AI initiatives, from autonomous workplace assistants and gadgets to Nvidia-powered PCs and a new in-house reasoning ...

Open source BI adoption in 2026 is driven less by cost savings and more by the need for data ownership, deployment control, and the flexibility to integrate AI workflows without vendor dependency.