Having long ago seen the handwriting on the wall for the journalism profession with the debut of GenAI, I decided to just cut to the chase and build my replacement now.
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.
Whether you're doing a simple web search or generating a complicated video, better prompts mean better results. Upgrade your prompt game with these tips and tricks.
Abstract: A conventional model predictive current control (MPCC) scheme for an induction motor (IM) drive performs as an effective controller at dynamic and steady-state conditions. However, the ...
Abstract: Seismic data denoising is a crucial and challenging task for high-quality seismic exploration. Recent advancements in deep learning methods have demonstrated promising results in seismic ...
We explore practical approaches to dataset construction, examining the advantages and limitations of 3 primary methods: fully manual preparation by expert annotators, fully synthetic generation using ...
A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated agentic AI into computational fluid dynamics (CFD) to optimize the aerospace ...
GPT-5.3-Codex helped debug and deploy parts of itself. Codex can be steered mid-task without losing context. "Underspecified" prompts now produce richer, more usable results. OpenAI today announced ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
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