Date
Tuesday October 29, 2019 from 9:00 AM to 6:00 PMLocation
TU/e CampusOrganizer
High Tech SystemsCo-organizer
Data SciencePrice
Free of chargeBuilding
Auditorium*The registration is closed*
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.
Program
| 8:30 | Registration | ||
| 9:30 | Opening | ||
| 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 Walter Riviera Intel | ||
| 11:00 | Break | ||
| 11:30 | Keynote: Infusing AI in Knowledge Management Geert-Jan de Koning IBM | ||
| 12:00 | Lunch | ||
| 13:00 | Masterclass: Bringing Autonomous Systems to Life Julian Kreuk Microsoft | Masterclass: Production AI, Digital Twinning and Simulation for Industrial Companies Paola Jaramillo Toon Weyens MathWorks | |
| 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 Jan Jacobs Hans Krikhaar 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 | ||
| 15:00 | Break | ||
| 15:30 | Accelerate Industry 4.0 with AI esports Buster Franken TU/e FruitPunch AI | ||
| 16:15 | Keynote: Applied AI at scale in Manufacturing Rokesh Jankie Google Cloud | ||
| 17:00 | Networking & drinks | ||
| 18:00 | End | ||
Subject to change
SponsorS
Participants
High Tech Systems
In next-generation high-tech and mechatronic systems, extreme functionalities and performance requirements will be realized by using a model-based multi-physics systems approach.
New sensing technologies and actuator designs for multi-physics processes (forces, flows, temperatures, acoustics, optics) will need to be integrated with and used by distributed on-line model-based control and optimization tools. The control systems are adaptive, auto-tuned, are implemented in optimized hardware and software architectures, and use effective (wireless) communication.