Fraunhofer Institute for Cognitive Systems IKS

In this online seminar, Fraunhofer IKS, together with Prof. Dr. Pickel from the agricultural technology manufacturer John Deere, highlights current developments in the smart farming sector and discusses the extent to which technologies from the automotive sector can be applied in smart farming.

Save your ticket for Safetronic 2021 in Stuttgart-Fellbach now.

From 2021 on, the international conference »Safetronic«  will be hosted by Fraunhofer IKS. The 20th international conference Safetronic holistically addresses the safety of road vehicles and all related aspects, including but not limited to functional safety, SOTIF, cybersecurity, safety-in-use and others.

The annual ESE Kongress is Germany's leading congress for the embedded software industry. Jeanette Lorenz from Fraunhofer IKS will hold a presentation on quantum computing.

The 41st International Conference on Computer Safety, Reliability and Security, SafeComp, will take place next year in Munich. For its 2022 edition, the annual event has the motto »New frontiers of safety assurance«.

As part of the ADA Lovelace Center for Analytics, Data and Applications,  Fraunhofer IKS has developed a technical white paper on machine learning methods for reliable perception of autonomous systems. It reviews, develops and evaluates new methods for quantifying uncertainty in deep neural networks.

In collaboration with Magazino GmbH, Frauhofer IKS presents a white paper on the obstacles and potentials of “DevOps for developing cyber-physical systems”:

• What is the difference between DevOps and traditional software development?
• What are the challenges in the DevOps process for cyber-physical systems?
• How can DevOps processes be implemented?

In their new paper, Franziska Schwaiger and her colleagues analyze the miscalibration of object detection models with respect to image location and box scale. Read more about the results of their experiments in »From Black-box to White-box: Examining Confidence Calibration under different Conditions«.

A sticker on a give way sign. Branches hanging in front of a stop sign. Graffiti on a speed limit sign. These are all completely normal sights on our roads, aren’t they? But things that wouldn’t generally be a problem for people can really make life difficult for artificial intelligence.

A simulation designed by Fraunhofer IKS paves the way for robots and humans to interact safely — without reducing efficiency.

Artificial intelligence (AI) has to be able to handle uncertainty before we can trust it to deliver in safety-critical use cases, for example, autonomous cars. The Fraunhofer Institute for Cognitive Systems IKS is investigating ways to help AI reason with uncertainty, one being the operational design domain.

Reconciling safety, performance and reliability in cloud-based cognitive systems is no easy task. Especially in safety-critical autonomous systems such as driverless cars, expectations rightly assume that all three requirements are implemented at the highest level. The Fraunhofer IKS has developed an new approach to solve the challenge: flexilience.