WELCOME
Welcome to AI Summit Brainport 2024.
The AI Summit Brainport 2024 will take place on Thursday 7nd of November, at Evoluon Eindhoven. For the 2024 edition the theme is The real Power of AI: Valuable & Responsible AI Systems.
This year the program will contain a new part: matchmaking. Of course the research track, expert track and adoption track will be taking place again, providing you with interesting AI talks and pitches.
We are fully booked and registering is no longer possible.
MORNING PROGRAM
|
09:00 |
Walk in with tea/coffee, Expo |
AFTERNOON PROGRAM
|
13:00 |
Lunch break & Expo |
Carlo van de Weijer
General Manager EAISI TU/e and Chair Brainport AI Hub
Carlo will lead the plenary session of the program.
View profile on TU/e website
Nathan van de Wouw
Full Professor at Eindhoven University of Technology
Synergy of Models and Data: AI Innovations in Engineering Diagnostics and Control
This talk will explore the value and potential of harmonizing physics-based knowledge with data and machine learning techniques to develop hybrid models with superior predictive capabilities. These hybrid models are critical for enhancing diagnostics capabilities, such as fault detection, isolation, and root cause analysis, thereby supporting predictive maintenance.
View profile on TU/e website
Abstract
The design and operation of complex engineering systems demand reliable models that accurately describe their dynamic behavior, forming the foundation of model-based engineering. With the surge in data availability and advancements in machine learning, the integration of these technologies into model-based engineering presents both significant opportunities and challenges.
Hybrid models are critical for enhancing diagnostics capabilities, such as fault detection, isolation, and root cause analysis, thereby supporting predictive maintenance.
Moreover, controllers that shape the dynamic behavior of engineering systems in terms of performance and robustness also stand to benefit from these hybrid technologies.
We will illustrate the transformative impact of combining models, data, and learning on various applications, including high-tech equipment, healthcare, and mobility. Examples will span from robots and semiconductor equipment to mechanical ventilators in hospitals and autonomous vehicles. Additionally, we will address the challenges encountered in this integration and share valuable lessons learned from practical implementations.
Martijn van Gruijthuijsen
Delegate Province of North Brabant
Portfolio Economy, Talent Development and Finance
View his profile
Jeroen Dijsselbloem
Mayor of Eindhoven
View his profile
Photographer: Jiri Büller
Carlo van de Weijer
General Manager EAISI TU/e and Chair Brainport AI Hub
Carlo will lead the plenary session of the program.
View profile on TU/e website
Nathan van de Wouw
Full Professor at Eindhoven University of Technology
Synergy of Models and Data: AI Innovations in Engineering Diagnostics and Control
This talk will explore the value and potential of harmonizing physics-based knowledge with data and machine learning techniques to develop hybrid models with superior predictive capabilities. These hybrid models are critical for enhancing diagnostics capabilities, such as fault detection, isolation, and root cause analysis, thereby supporting predictive maintenance.
View profile on TU/e website
Abstract
The design and operation of complex engineering systems demand reliable models that accurately describe their dynamic behavior, forming the foundation of model-based engineering. With the surge in data availability and advancements in machine learning, the integration of these technologies into model-based engineering presents both significant opportunities and challenges.
Hybrid models are critical for enhancing diagnostics capabilities, such as fault detection, isolation, and root cause analysis, thereby supporting predictive maintenance.
Moreover, controllers that shape the dynamic behavior of engineering systems in terms of performance and robustness also stand to benefit from these hybrid technologies.
We will illustrate the transformative impact of combining models, data, and learning on various applications, including high-tech equipment, healthcare, and mobility. Examples will span from robots and semiconductor equipment to mechanical ventilators in hospitals and autonomous vehicles. Additionally, we will address the challenges encountered in this integration and share valuable lessons learned from practical implementations.
Martijn van Gruijthuijsen
Delegate Province of North Brabant
Portfolio Economy, Talent Development and Finance
View his profile
Jeroen Dijsselbloem
Mayor of Eindhoven
View his profile
Photographer: Jiri Büller
