Perplexity Computer launches with 19 specialized AI models working in parallel to build apps, dashboards, research, and more from a single prompt.

Anthropic expanded Claude Cowork with cross-app workflows, new connectors, and enterprise controls, letting teams tailor Claude to internal tools and processes.

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

OpenAI has signed on Peter Steinberger, the pioneer of the viral OpenClaw open source personal agentic development tool.

Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Following a "backlash," Microsoft has removed a blog post [archive.is] suggesting that you train an AI on Harry Potter, which ...

Hands-on NDR testing reveals AI-assisted threat hunting, deep network visibility, and SOC workflow integration benefits.

As AI demand outpaces the availability of high-quality training data, synthetic data offers a path forward. We unpack how synthetic datasets help teams overcome data scarcity to build production-ready ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Google has disclosed that its Gemini artificial intelligence models are being increasingly exploited by state-sponsored hacking groups, signaling a major shift in how cyberattacks are planned and ...