Google has introduced the ‘Agent Development Kit’ – a major open-source multi-agent framework designed to build reliable, production-ready artificial intelligence (AI) agent systems. Google released ...
Google’s Agent Anomaly Detection monitors AI agents for suspicious behavior, policy violations, tool misuse, and operational ...
Overview: Vectorization replaces manual, element-by-element loops with operations that run across entire arrays at once.The ...
Jev, TypeSafe AI's System One model — routers, guardrails, browser agents, SQL extensions — and what each one replaced.
Compiling Agent Experience into Persistent Knowledge for Skill Evolution," recently published by Liyan Tang et al. (August ...
Astra, a new model focused on coding, computer use, long-running agentic tasks, and cybersecurity, with availability across ...
The most visible cost of workarounds is time. The hours spent reconciling data across systems, manually monitoring slots, or re-running the same process because a spreadsheet formula didn’t update as ...
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Google’s open source EnvHarness lets AI agents train against environments that evolve with them
The approach presents an alternative to continuously building new simulators and training tasks from scratch: start with a ...
The full picture and practical recipes for the ultra-fast 200ms, 1/10th cost, 100% type-safe 'System One' model~0.
But skepticism about AI’s impact on jobs, combined with perceptions about data centers’ disruptive impacts on communities, ...
AI-related SOC alerts rose 685% from February to June 2026, with 94.1% classified as noise and 5.8% as genuine security risks ...
Anthropic Model Hardware Standard (MHS) cuts AI-to-lab-instrument integration from weeks to hours. Claude drove QuEra's quantum laser-lock recovery rate from 58% to 99.3% overnight and compressed ...
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