Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
GitHub

lastmile-ai/mcp-agent

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.
IEEE

Incremental Sparse Gaussian Process-Based Model Predictive Control for Trajectory Tracking of Unmanned Underwater Vehicles

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).
Hubbis

AI, Advice Commoditisation, and the Next Operating Model in Indian Wealth

As AI adoption accelerates across financial services, Indian wealth managers are increasingly viewing the technology less as ...
IEEE

Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model

Abstract: Motor efficient design is an important measure to reduce the energy consumption of servo motor system. Existing methods typically focus on optimizing the efficiency at specific operating ...
GitHub

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

If you prefer a managed hosted solution check out tadata.com. FastAPI-MCP is designed as a native extension of FastAPI, not just a converter that generates MCP tools from your API. This approach ...