EFFRA Innovation Portal

From the ground up: developing a practical ethical methodology for integrating AI into industry

Project: AI-PROFICIENT

Updated at: 29-04-2024

AI-PROFICIENT validation methodology (final version)

Project: AI-PROFICIENT

Updated at: 29-04-2024

Project identity kit and communication material (final version)

Project: AI-PROFICIENT

Updated at: 29-04-2024

Human-machine interaction, explainable AI and shop-floor feedback

Project: AI-PROFICIENT

Updated at: 29-04-2024

AI-PROFICIENT ethical recommendations

Project: AI-PROFICIENT

Updated at: 29-04-2024

User experience evaluation

Project: AI-PROFICIENT

Updated at: 29-04-2024

Weighted-QMIX-based optimization for maintenance decision-making of multi-component systems

Project: AI-PROFICIENT

Updated at: 29-04-2024

Best practices and lessons learnt

Project: AI-PROFICIENT

Updated at: 29-04-2024

AI-PROFICIENT approach for XAI

Project: AI-PROFICIENT

Updated at: 29-04-2024

On the use of reinforcement learning for maintenance decision-making of multi-state component systems with imperfect mai...

Project: AI-PROFICIENT

Updated at: 29-04-2024

Smart components and local AI at system edge

Project: AI-PROFICIENT

Updated at: 29-04-2024

Artificial-Intelligence-Based Maintenance Scheduling for Complex Systems with Multiple Dependencies

Project: AI-PROFICIENT

Updated at: 29-04-2024

Artificial-intelligence-based maintenance decision-making and optimization for multi-state component systems

Project: AI-PROFICIENT

Updated at: 29-04-2024

Deep Learning Representation Pre-training for Industry 4.0

Project: AI-PROFICIENT

Updated at: 29-04-2024

Some Ethical Reflections on the EU AI Act

Project: AI-PROFICIENT

Updated at: 29-04-2024

Towards interpreting deep learning models for industry 4.0 with gated mixture of experts

Project: AI-PROFICIENT

Updated at: 29-04-2024

Semantic data model for integrated digital twins

Project: AI-PROFICIENT

Updated at: 29-04-2024

FIDES: An ontology-based approach for making machine learning systems accountable

Project: AI-PROFICIENT

Updated at: 29-04-2024

Final public project report

Project: AI-PROFICIENT

Updated at: 29-04-2024

AI-PROFICIENT clustering and networking

Project: AI-PROFICIENT

Updated at: 29-04-2024

Integration with AI4EU's AI on-demand platform

Project: AI-PROFICIENT

Updated at: 29-04-2024

Validation analysis of demonstration scenarios

Project: AI-PROFICIENT

Updated at: 29-04-2024

System integration and deployment

Project: AI-PROFICIENT

Updated at: 29-04-2024

Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From Th...

Project: CoLLaboratE

Updated at: 29-04-2024

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Project: CoLLaboratE

Updated at: 29-04-2024

Variational Inference with Mixture Model Approximation for Applications in Robotics

Project: CoLLaboratE

Updated at: 29-04-2024

A novel DMP formulation for global and frame independent spatial scaling in the task space

Project: CoLLaboratE

Updated at: 29-04-2024

EFFRA Innovation Portal (first version)

Project: CoLLaboratE

Updated at: 29-04-2024

Extension of movement primitives to behavior primitives

Project: CoLLaboratE

Updated at: 29-04-2024

Assembly Policy Learning and Improvement (preliminary)

Project: CoLLaboratE

Updated at: 29-04-2024

Resources

Selected filters:

From the ground up: developing a practical ethical methodology for integrating AI into industry

AI-PROFICIENT validation methodology (final version)

Project identity kit and communication material (final version)

Human-machine interaction, explainable AI and shop-floor feedback

AI-PROFICIENT ethical recommendations

User experience evaluation

Weighted-QMIX-based optimization for maintenance decision-making of multi-component systems

Best practices and lessons learnt

AI-PROFICIENT approach for XAI

On the use of reinforcement learning for maintenance decision-making of multi-state component systems with imperfect mai...

Smart components and local AI at system edge

Artificial-Intelligence-Based Maintenance Scheduling for Complex Systems with Multiple Dependencies

Artificial-intelligence-based maintenance decision-making and optimization for multi-state component systems

Deep Learning Representation Pre-training for Industry 4.0

Some Ethical Reflections on the EU AI Act

Towards interpreting deep learning models for industry 4.0 with gated mixture of experts

Semantic data model for integrated digital twins

FIDES: An ontology-based approach for making machine learning systems accountable

Final public project report

AI-PROFICIENT clustering and networking

Integration with AI4EU's AI on-demand platform

Validation analysis of demonstration scenarios

System integration and deployment

Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From Th...

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Variational Inference with Mixture Model Approximation for Applications in Robotics

A novel DMP formulation for global and frame independent spatial scaling in the task space

EFFRA Innovation Portal (first version)

Extension of movement primitives to behavior primitives

Assembly Policy Learning and Improvement (preliminary)