Newsletter Summer Break
There will be no newsletter from 17 August to 14 September 2020. For event and job announcements during that period, please check our website. Enjoy your summer!
New learning algorithm should significantly expand the possible applications of AI
The high energy consumption of artificial neural networks' learning activities is one of the biggest hurdles for the broad use of Artificial Intelligence (AI), especially in mobile applications. Robert Legenstein and Wolfgang Maass (Institute of Theoretical Computer Science) developed the e-prop learning method that forms the basis for drastically more energy-efficient hardware implementations of AI.
AutoDrive: New simulation scenarios should help to make autonomous driving systems even safer
(Partially) autonomous cars are already on our roads today with automated systems such as braking or lane departure warning systems. As a central vehicle component, the software of these systems must continuously and reliably meet high quality criteria. Franz Wotawa and his team from the Institute of Software Technology in close collaboration with the cyber-physical system testing team of AVL are dedicated to the great challenges of this future technology: the guarantee of safety through the automatic generation of extensive test scenarios for simulations and system-internal error compensation by means of an adaptive control method.
IAIK is part of the KRAKEN Project
KRAKEN (BroKeRage and MArKet platform for pErsoNal data) is developing a trusted and secure personal data platform with state-of-the-art privacy aware analytics methods (with guarantees on metadata privacy, including query privacy). The Institute of Applied Information Processing and Communications (IAIK) brings to the KRAKEN project experience & expertise in identity solutions (WP2), self-sovereign identity & eID/eIDAS (WP3), and cryptography & privacy (WP4); and is also involved in the education pilot (WP5).
