Sigrid Jin woke up to chaos and shipped "Claw Code" by breakfast. Here's everything it taught the world.

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Discover how CIOs can leverage AI to modernize legacy programming languages, reduce technical debt, and enhance operational ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or even millions—of ...

Critical and high-severity vulnerabilities were found in four widely used Visual Studio Code extensions with a combined 128 million downloads, exposing developers to file theft, remote code execution, ...

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 ...

GPT‑5.3‑Codex, its new coding and development model, is apparently the first “that was instrumental in creating itself.” No, that probably doesn’t mean ChatGPT is ready to build its own Skynet, but it ...

Anthropic launched its latest AI model, Claude Opus 4.6, which is better at coding, sustaining tasks for longer and creating higher-quality professional work, the company said. The company's models ...

Abstract: Source code vulnerability detection is a major goal in security research. In recent years, deep learning methods have been applied to this end, however the task of embedding code into vector ...

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage using ...