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Artificial Intelligence (AI) is rapidly becoming a disruptive technology with many applications. After a first wave of successful AI-based consumer applications, a second wave of AI-based industrial applications is on the horizon. The creation of these applications encompasses more than just the fields of data science and AI and includes engineering disciplines such as embedded systems, mechatronics, sensors, control theory, physics and more.
Research needs to be carried out in order to understand how to bridge the gap between engineering and AI. Eindhoven Artificial Intelligence Systems Institute (EAISI) and High Tech Systems Center (HTSC) have the pivotal role in connecting people and creating multi-disciplinary AI projects together with the industry.
On 29 October 2019, Eindhoven University of Technology will open its doors to everyone interested in artificial intelligence for high-tech systems. The symposium includes keynotes, masterclasses and presentations from industrial players and TU/e researchers. Furthermore, the exhibition will present many live demonstrations.
|9:45||Kick off: Artificial Intelligence in the Real World: Where are the Driverless Cars? |
Dr. ir. Carlo van de Weijer
TU/e Eindhoven Artificial Intelligence Systems Institute (EAISI)
|10:15||Keynote: AI beyond the buzzword: do it well or do it twice |
|11:30||Keynote: Infusing AI in Knowledge Management |
Geert-Jan de Koning
|13:00||Masterclass: Bringing Autonomous Systems to Life |
|Masterclass: Production AI, Digital Twinning and Simulation for Industrial Companies |
|14:00||Research track: From Academia to High Tech Innovation Startup and Back Again |
Dr. Gijs Dubbelman
TU/e Electrial Engineering - Mobile Perception Systems
|Research track: Open ML: Democratizing and Automating Machine Learning |
Dr. ir. Joaquin Vanschoren
TU/e Mathematics and Computer Science - Information Systems
|Research track: Bio-inspired System Design |
Fontys University of Applied Science
|Research track: Learning Task-Based Sampling by Error Backpropagation |
Iris Huijben Msc.
TU/e Electrical Engineering - Signal Processing Systems
Research track: Natural Artificial Intelligence
Research track: Reinforcement Learning in Logistics: Optimizing Transshipments in Dynamic Spare Parts Networks
|15:30||Accelerate Industry 4.0 with AI esports |
TU/e FruitPunch AI
|16:15||Keynote: Applied AI at scale in Manufacturing |
|17:00||Networking & drinks|
Subject to change