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Intelligent Root Cause identification for quality check
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Intelligent solution test for: - Automatic correlation between faults and defect and their pricipal caueses - identification of corretive actions for avoiding the same defect generation
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Asset Tracking Experimentation
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Series of Exèperiments needed to validate the following features: - Comunication functionalities (Precisons, Latency, etc.) - Cognitive functionalities of logistic system able to know and to making movements within an area by orienting and recognizing
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Measuring human factor risk: Social Driven Vulnerability Test
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Series of experiments needed to test: - vulnerability assessment of the industrial asset - the risk of the industrial asset to integrate with other actors ( edge computing, sensors, IoT solutions) - Procedures to mitigate
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Smart Digital Twin of Industrial Plant for service delivery
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AI-base solution able to: 1) Especially validated simulation model for industrial company that needs to simulate its industrial processes 2) Ability to test the information flow among the physical, digital and virtual worlds in order
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Smart Digital Twin for Product Design
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AI-base solution able to: 1) Automated workflow of New Product Development 2) Automated Design review process for optimizing the ergonomics and functional features of the product order to facilitate product usability 3) Virtual Environment Realization
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Automatic entity extraction from unstructured documents data
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- enriched database, structured company knowledge and automated knowledge-intensive processes.
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AI for predictive maintenance application for machine builder
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AI-base solution able to: 1) Support operator intervention: he is called to actively interact with predictive system 2) Implement Human-machine interface: the system will have to ensure simple management, considering also predictive analyses 3) Optimize
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Ai based inventory management and smart scheduling activities optimization
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Testing activities needed to validate the following feature: - bottleneck identification - Multi - scheduling scenarios proposition based on machine learning concept - test and validation of multi-objective optimization function
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Intelligent and dynamic forecasting for demad planning
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AI - based solution: 1) Automated workflow of production planning activities; 2) Automated data collection from market and specific clusterization of customer requirements; 3) Intelligent forecasting of market demand.
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Intelligent quotation suite platform
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Ai-based solution: 1) Technical and business requirements; 2) Data field collection for cost monitoring; 3) Intelligent quotation platform activities.
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AI for process optimization with collaborative robot
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AI-base solution able to: 1) Assess data quality 2) Assess pipeline efficiency 3) Recommendations for improving data and quality
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AI for process optimization with collaborative robot
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AI-base solution able to: 1) correct surface detection 2) Autonomous trajectory generation 3) Self-identification of defects on machining activities
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Validation of Machine Translation solutions for industrial applications
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Validated machine/speech translation solutions.
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Monitoring and diagnosis of AI-system for manufacturing
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AI-based solution able to: 1) Monitor properties or faults 2) Predict failures or estimate unobservable parameters 3) Identify root causes
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Planning and Scheduling for Costification in Manufacturing
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Retrospective and predictive analyses for estimating the costs and benefits of having a new machine, AI solutions, robots, ….
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Testing of translation solutions for industrial applications
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Test report with detailed system performance under different scenarios and eventual insights on ways to improve performance
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Validation of Vision Based Systems for 2D/3D Dynamic Scene Understanding in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Validation of Vision Based Systems for 2D/3D Dynamic Scence Understanding in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Validation of Metrology Based Systems for Quality control in Manufacturing
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Characterization of active and passive sensors in a metrology lab
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- Validation of system performance, - highlighting weakness and suggesting possible improvement
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Testing and optimization of Planning and Scheduling features for Manufacturing
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Complex machinery based on AI and robots with simplified control systems
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Planning and Scheduling for improving automation in Manufacturing
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Complex machinery based on AI and robots with simplified control systems
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Software Engineering process revision for AI applications in Manufacturing
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AI-based software suitable for manufacturing
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Software Engineering process revision and validation of AI-based software solutions for manufacturing
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AI-based software suitable for manufacturing
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AI-based software solution testing with automatic test case generation
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AI-based software for manufacturing where each application feature works as per the identified software requirements
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Validation of AI models for time series forecasting and anomaly detection in manufacturing
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Optimized AI model for time series analysis and forecasting tailored on the specific industrial need
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Monitoring and Optimization of AI-based application in the IoT – Edge continuum for Smart Manufacturing
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AI-based applications in the IoT-Edge continuum for smart manufacturing optimized
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