Claude setup I wish I had from day one.

Rubber Duck uses a second model from a different AI family to evaluate the primary agent’s plans, question assumptions, and ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Abstract: This paper proposes inverse reinforcement learning (IRL) algorithms to solve the optimal synchronization problems for multi-agent systems (MASs) subject to disturbances. A framework of ...

A 3D model of a covalent organic framework structure that includes identical stacked layers of atoms bonded together in a way that creates a material with large hexagonal pores. The artificial ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

Anthropic publishes practical framework for structuring AI agent tasks using sequential, parallel, and evaluator-optimizer patterns as enterprise deployment outpaces governance. Anthropic dropped a ...

Integrating Artificial Intelligence (AI) into everyday school practice holds great potential for implementing adaptive teaching. AI-supported tools enable learning processes to be individualized and ...