An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Abstract: In unmanned aerial vehicle (UAV) networks, communication protocols and algorithms are essential for cooperation and collaboration between UAVs. Simulation provides a costeffective solution ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...

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 ...

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.

Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

Abstract: As electronic warfare (EW) becomes increasingly significant in modern battlefields, the demand for simulation environments in the development of EW systems rises. There is a strong focus on ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...