InfoWorld

Preventing agent-generated infrastructure bloat through spec-driven governance

AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...
note

Dialogue with Gemini: Introducing Mathematica Parallel Computing to Python Users

I consulted Gemini about a project I think is good but don't know how to proceed with. So, I had Gemini write a proposal for Python users. 2025: The 'Mathematical Object-Oriented' Parallel Paradigm to ...
note

Practical Application of RAG Engine RAGFlow, Stabilization of OPD Learning, and Empirical Benchmarks for Web Agents

The RAG engine RAGFlow, which has ranked on GitHub Trends, is evolving into a practical context engine through Agent functionality and MCP support. Meanwhile, in the field of fine-tuning, an empirical ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...
IEEE

Mahmoud Fotuhi-Firuzabad

Distribution System Operator,Power System,Distributed Energy Resources,Distribution Network,Microgrid,Distribution System,Energy Storage Systems,Mixed Integer Linear Programming,Objective ...
GitHub

Revisiting Transferable Adversarial Images

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. Zhengyu Zhao*, Hanwei Zhang*, Renjue Li*, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao ...