How to embed artificial intelligence in a compact and resource-saving manner in technical systems is now being investigated in a new Christian Doppler laboratory at the TU Wien. Machine learning is one of the major future topics in the IT industry. You don’t just let a computer process a series of ready-made commands, you develop systems that can be trained and learned. In this way, tasks can be mastered that can hardly be solved in any other way.
The new laboratory will open on March 2nd, 2020. It is supported by the Bundesministerium für Digitalisierung und Wirtschaftsstandort (BMDW) and the company partners Mission Embedded GmbH, Siemens Austria and AVL List. TU Graz is also involved in the project as a scientific partner.
On March 2nd 2020, the Christian Doppler Laboratory for Embedded Machine Learning will be officially opened. The research topic is machine learning in embedded hardware with limited resources. Especially deep learning in object recognition will be emphasized. Possible applications of the research are self-driving cars, pedestrian detection and airplane tracking.
We look for students at Bachelor, Master and PhD level!
For the third time in a row, the Institute of Computer Technology is proud to have won both Best Teaching Awards!
We congratulate Dipl.-Ing. Maximilian Götzinger as Best Teacher and the team of the course Digitale Systeme UE (Dr. Friedrich Bauer, Dipl.-Ing. Daniel Hauer, Dipl.-Ing. Maximilian Götzinger) for the award Best Lecture.
Many thanks to all the students who once again voted our institute the one with the best lectures!
ICT is proud to have been nominated for the Best Teaching Awards 2019 in both categories (Best Lecture and Best Teacher) – again!We are looking forward to the price-giving on June 13 and keep our fingers crossed for our nominees!
The Energy+IT-Group participated in the second Connectathon Energy that was held for the first time in Vienna at the FH Technikum Wien. The purpose of Connectathon is to let companies and institutions connect their devices to each other to promote interoperability. Marcus Meisel, Stefan Kollmann, Alexander Wendt and Stefan Wilker used a setup of a Customer Energy Management System (CEMS) from the project Inigrid. A connection test through the IEC61850 standard to measure values from three other systems were sucessfully completed. The Energy+IT-group demonstrated its ability to design and implement interoperable software infrastructures in heterogenous smart grids landscapes.
On 30.1.2019 Viennese pupils had the opportunity to get to know the study at the TU Vienna. Some have chosen ICT, where the topic of machine learning was presented by Alexander Wendt from the Energy + IT group. In a short lecture with exercises, the students were introduced to the basics of machine learning. The students might be unaware that they are already learning the mathematical tool in school to solve complex linear regression problems. With the motivation that they can subsequently develop a software that autonomously controls cars or detects anomalies in engine noise, they might be inspired to study with us.