Google followed its Cloud Next '26 Gemini Enterprise Agent Platform rollout and its Antigravity CLI transition with a broader I/O 2026 agent-development stack spanning Agent Studio, Managed Agents API ...

Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier to the use of MBT is ...

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how ...

The disbelief was palpable when Mozilla’s CTO last month declared that AI-assisted vulnerability detection meant “zero-days are numbered” and “defenders finally have a chance to win, decisively.” ...

Large language models are already finding their way into security operations, from summarizing Defender alerts to drafting incident response updates. But for IT teams, the harder question is not ...

🔥 0.8.0-preview is here. Design's old world ends here. The open-source alternative to Claude Design / Figma — 40k stars in two weeks got us this far. We need you to push the rest of the way.

Abstract: During the design process of digital integrated circuits, high-quality coverpoint plan plays a crucial role, as it guides the verification process. This challenging task is accomplished by ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

A large language model that is trained to respond in a warm manner is more likely to give incorrect information and reinforce conspiracy beliefs. If you use artificial-intelligence tools, you might ...

Hackers are targeting sensitive information stored in the LiteLLM open-source large-language model (LLM) gateway by exploiting a critical vulnerability tracked as CVE-2026-42208. The flaw is an SQL ...

Abstract: Depression is a mental health disorder that significantly impacts modern society. Developing accurate depression detection models by leveraging discriminant features from multimedia or ...