Insights, people, and technology that stuck with me.
Machine learning Design Products April 24, 2017
In the spirit of openness, the large and dedicated Artificial Intelligence (AI) community makes their insights public and accessible for everyone. The impact of this openness on AI productization will have the effect that AI is not going to be a product differentiation, but an affordance.
Tutorial Machine learning April 05, 2017
In this notebook, we look at how to implement an autoencoder in tensorflow. Autoencoders are a Neural Network (NN) architecture. The basic idea of an autoencoder is that when the data passes through the bottleneck, it is has to reduce. The result is a compression, or generalization of the input data.
Automotive Security December 24, 2015
2015 has been an exciting year regarding automotive security. Many autosec incidents have been reported in media and thus raised public awareness for the field. Some of these incidents triggered big time events. It has been the first time that car makers were pointed out by name because of their vulnerable models. The first cyber security related callback action has happened in 2015. Exploits have been disclosed in mainstream security conferences such as Black Hat and Defcon and stirred up a discussion on ethical disclosure in automotive security.
Project Security Cyber-phiscal systems August 01, 2015
The objective of the MODESEC project is to research the interaction between modelling and security in the context of Cyber-Physical Systems. The first step towards this goal is to develop and implement a development method for secure cyber physical systems. Our innovation is to investigate on how to use models to gain insights about a system’s security.
Automotive Security January 08, 2015
heute.de (H) On Sunday automakers will launch the international auto show in Detroit. There the cars of the future will be presented and the trend is clearly towards smart and connected vehicles. What will the smart cars be able to do?*
