AI portfolio of reference implementations: Difference between revisions
No edit summary |
No edit summary |
||
| Line 31: | Line 31: | ||
A12: [[McDefect Solutions]] | A12: [[McDefect Solutions]] | ||
'''B) WEEE & Battery''' | '''B) WEEE & Battery''' | ||
| Line 66: | Line 67: | ||
C.7: [[EthicalML]] | C.7: [[EthicalML]] | ||
'''D) All/Smart industry''' | '''D) All/Smart industry''' | ||
Revision as of 07:12, 26 April 2023
The CircularTwain AI implementations portfolio, presents a non-exhausting list of AI implementations, as identified from the project’s partners and which have found to be relevant…. This portfolio anticipated to be improved and evolve continuously throughout the project’s implementation, in order to record and describe further new …….
An initial categorisation has been made based on the applicable domain/industry, these implantations refer top. Further information on their description, type, AI breadth, related technologuesmlicense information, etc.are provided in each implementation's dedicated page.
A) Manufacturing
A.1: AI REGIO Supervised Learning for Multivariant Time Series Forecasting
A.2: AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing
A.3: AI REGIO Intelligent Computer Vision for Digital Twin
A.4: AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement
A.5: AI REGIO - Supervised real-time 2D-based Object Detection System
A.6: AI REGIO Industrial Faults Predictive Maintenance (IFPM)
A.7: RL4MachineTuning
A.8: Time prediction for flexible manufacturing
A.10: HIRIT
A.11: DFDD
A12: McDefect Solutions
B) WEEE & Battery
B.1: Isaac Sim
B.2: Dexnet
B.3: YOLO: image detection architectures
B.4: NVIDIA kaolin tools and resources
B.5: PointNet++
B.6: ROS Noetic
B.7: RoboGraph
B.8: Jupyddl
C) Research
C.1: JGNN Graph Neural Networks on Native Java
C.2: Decentralized-gnn
C.3: Locally Private Graph Neural Networks
C.4: Hugging Face
C.5: SHapley Additive exPlanation (SHAP)
C.6: DeepLIFT
C.7: EthicalML
D) All/Smart industry
D.1: AutoML
D.2: DIDA (Digital Industries Data Analytics)
D.3: Auto-Weka
D.4: ML.NET