Microtec nord 2022

North German Microelectronics Day

Intelligent systems

Learning hardware and software 


Modern technical systems are increasingly acting autonomously, taking on ever more complex tasks, especially those that traditionally require human intelligence. Learning-capable hardware and software is being used profitably by companies and organizations in industry and agriculture worldwide and offers enormous potential in the future. A major challenge is the reliable, efficient and decentralized processing of exponentially growing amounts of data from the integrated sensors, especially on mobile devices and systems. The efficient computation of neural networks using dedicated integrated circuits represents a promising solution approach. The eleventh North German Microelectronics Day is dedicated to this topic with practice-oriented lectures, held by speakers from well-known companies and institutions, reporting on news and developments in the field. The event is aimed at planning and projecting specialists and executives, as well as those responsible at management levels and students and doctoral candidates. It offers the opportunity to exchange ideas with colleagues and to make new contacts.



Program details

09:00 a.m.



09:30 a.m.

Holger Kapels, Fraunhofer ISIT, Itzehoe

09:45 a.m.

Use of AI in agriculture and forestry
Stephan Hußmann, West Coast University of Applied Sciences, Heide 

10:15 a.m.

AI for Processing Sparse Signals from Dynamic Image Sensors
Steffen Hagedorn, Basler AG, Ahrensburg, Germany

10:45 a.m.

Coffee break

11:30 a.m.

Privacy-Preserving Techniques for Machine Learning - Edge vs. Cloud Computing
Leonard Püttjer, NXP Semiconductors Germany GmbH, Hamburg

12:00 p.m.

Learning battery systems
Christoph Weber, Kiel UAS, Kiel
12:30 p.m. Lunch together
02:00 p.m. Automated Optical Inspection in Chip Manufacturing
Florian Kaelber, NXP Semiconductors Germany GmbH, Hamburg
Frank Karstens, Basler AG, Ahrensburg
02:30 p.m. NeurOSmart - Analog neuromorphic accelerators enabling efficient and safe smart sensors
Michael Mensing, Fraunhofer ISIT, Itzehoe
03:00 p.m. Coffee break
03:30 p.m. Digitization and AI with RZZ Nord
Christopher Kühn, Kiel UAS, Kiel
03:45 p.m. Machine Learning for Edge Based anomaly Detection in Robotic Application
Frieder Jespers, NXP Semiconductors Germany GmbH, Hamburg

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