Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Abstract: Multi-fidelity modeling is a common approach for predicting the drag coefficient of airfoil, offering high accuracy and low computational cost. Low-fidelity data are acquired by simplifying ...

Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...

We've decided to retire and archive this project - there's just no safe way to run Python within pyodide safely with reasonable latency. Instead, we're working hard on Monty which should solve the ...

This project implements vectorless agentic RAG over Confluence using Python, PageIndex, OpenAI gpt-4o-mini, Claude via Pydantic-AI, and FastMCP. An MCP server and Streamlit chatbot are implemented as ...