industrial-ai

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

OpenSSA: Small Specialist Agents based on Domain-Aware Neurosymbolic Agent (DANA) architecture for industrial problem-solving

roadmap to applied ai

AI SDK Tutorials helps you to get familiar with AI Software Development Kit (AI SDK) through a set of end-to-end tutorials, how-to jupyter notebooks, and how-to guides.

[CVPRW'25] Official Code For "SK-RD4AD: Skip-Connected Reverse Distillation for One-Class Anomaly Detection"

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

This article presents a reference architecture to enhance the compatibility of Siemens Industrial Artificial Intelligence (Industrial AI) products with Microsoft Azure.

Real-time Industrial Anomaly Defect Inference Detection implemented by cpp（实时工业缺陷检测cpp）

#大语言模型#Industrial AI Agents using LLMs

Zero and few-shot industrial image anomaly detection framework comparing AnomalyDINO & MuSc models across MVTec AD, BTAD, and ViSA datasets with MLflow tracking and flexible configuration.

This repository provides code for the paper "Vipul Bansal, Yong Chen, Shiyu Zhou, Component-Wise Markov Decision Process for Solving Condition Based Maintenance of Large Multi-Component Systems with ...

#计算机科学#Automatically identify whether the sounds produced by industrial machines are normal or anomalous (faulty machines). This is crucial for ensuring efficient and safe operations in the context of AI-bas...

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

[CVPR 2025 Workshop] SK-RD4AD: Skip-Connected Reverse Distillation for One-Class Anomaly Detection

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

#计算机科学#Image classification project to detect defective products in manufacturing processes using deep learning. Helps automate quality control by classifying items as 'Defective' or 'Non-Defective'.

SDK to Implement custom Industrial camera connectors for usage in Siemens Vision Connector

#计算机科学#Predicting product quality in hot forming processes using interpretable machine learning models. Includes preprocessing, feature engineering, model selection and evaluation in a reproducible Docker se...

#计算机科学#AI-powered production line optimization using reinforcement learning (PPO).

A GitOps-driven pipeline for automated prediction of industrial equipment efficiency. Includes Dockerized ML models, CI/CD integration with Jenkins, and infrastructure-as-code practices for scalable...