{ontime:-'2019-06-13'} [Grafik: ika-Meetup]{/ontime}

{ontime:'2019-06-14'}[Grafik: ika-Meetup]{/ontime}

Our Meetup series for interested parties presents and discusses current, practice-relevant research topics in the field of future mobility.

Deep Learning with no Extension Cable
Hardware-aware design of deep learning applications

Dr. Armin Runge (Robert Bosch GmbH)

Deep learning-based algorithms have replaced established classical methods in various domains in recent years. However, such approaches are coming with new requirements regarding the system and hardware architecture. Especially in the context of automated driving an efficient realization is indispensable. Armin Runge will explain some typical pitfalls in the implementation of Deep Learning-based approaches on embedded systems and point out possible solutions.

[Foto: Dr. Armin Runge]

Dr. Armin Runge

  • is a research engineer for hardware-related artificial intelligence in the Corporate Research and Advance Development department at Robert Bosch GmbH
  • deals with the efficient realization of artificial intelligence in embedded systems.

The event starts at 18:00 hrs, the talk will be held in German.
Registration is requested.

{ontime:-'2019-06-13'} to registration{/ontime}


Timo Woopen M.Sc.
Manager Research Area Vehicle Intelligence & Automated Driving
+49 241 80 23549


Seminar room S206
Institute for Automotive Engineering (ika)
Steinbachstr. 7
52074 Aachen



to registration



Institute for Automotive Engineering (ika)
RWTH Aachen University

Steinbachstraße 7
52074 Aachen · Germany

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+49 241 80 25600
+49 241 80 22147