do-math is a multi-agent management system that provides governance for autonomous mathematical research. It consists of instruction documents that direct agent behavior and a Python program, the ...

Build an AI code review pipeline on GitHub Actions with Semgrep, reviewdog and a Python model reviewer. 12 steps, tested code ...

The 2026 event is upon the Horse Racing World Cup. Get your bets in before 2pm. (Melbourne time 3pm). There are 24 horses and each of them has a fair chance to win the 3200 metres race – considered ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

Cloudflare Workers pricing starts at $5 a month. See worked bills against AWS Lambda, Azure Functions and Cloud Run after the ...

Modern baby monitors are expected to do more than stream audio or video; consumers now expect functions such as connected ...

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...

Goodfire's Neural Networks Are Already Clean has attracted widespread attention in interpretability research. It argues that neural networks may already contain many clear, interpretable structures, ...

Build an MT5 trading bot with AI help. Write the rules, generate the MQL5 code, compile it in MetaEditor and test it on a ...

The University of Sheffield, UK, has launched a new MSc in Artificial Intelligence for Life Sciences for 2027 entry, equipping students with the AI and computational skills to explore how artificial ...

Houman Zarrinkoub of MathWorks discusses the company’s vision for digital twins in RF/microwave circuit design.

The Agent-to-Agent (A2A) protocol enables standardized communication between agents built with different frameworks and technologies. This page covers exposing Agent Framework agents as A2A servers.