A meeting of a rather unusual kind

“Special circumstances require special solutions” – This was the motto of this week’s ICT institute meeting, which was not held in the TU’s meeting room but in the home offices of all our employees.

These regular meetings are used for coordination between the various research groups, teaching and the organizational tasks of the institute. This year, however, there was another important topic on the agenda: After four years as head of the institute, Prof. Hermann Kaindl was succeeded by Prof. Axel Jantsch. In order to hand over the sceptre despite the prevailing corona measures, the institute meeting was quickly converted into a video conference. The productive meeting was only interrupted by a short solo performance of a four-legged roommate, but could be quickly resumed afterwards. The most important point of the meeting was of course the current effects of the Corona crisis on research and teaching. The ICT is working intensively to continue current research projects and to carry on teaching in the best possible way for the students within the given limits.

We wish Prof. Jantsch every success in his new position!

All the best and good health in these extraordinary times! 

ICT-Meeting 2020

Open Position: Professor in Autonomous Systems


The future incumbent’s field of work should be Autonomous Systems, with a focus on one or more of the following:

 –  Safety and reliability Engineering

 –  Risk modelling, analysis and management

 –  Artificial intelligence (in particular machine learning, big data analytics)

 –  Decision making, decision support systems and mission planning

 –  Self-organizing systems

 –  Human-machine systems.

The chair is expected to complement already existing research areas at the faculty with respect to autonomous systems: mechatronics, sensors and actuators, optimization, systems theory and control, robot control, path planning, vision systems, sensor fusion and perception, and telecommunications.

Furthermore, this chair is expected to build up an interdisciplinary research group, that will study and develop solutions for challenges of real autonomous systems both theoretically and through experimental research.

How to let Machines Learn

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.

Link to press release: Wie man Maschinen lernen lässt
Link to “Der Standard” article: TU Wien: Neues Labor will lernende eingebettete IT-Systeme entwickeln

CD Laboratory Embedded Machine Learning Logo

Christian Doppler Laboratory for Embedded Machine Learning

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!

The CDL EML logo
Object detection in jour fix

Open Source Project Award, Eurolab4HPC

After award ceremony, during live demonstration of the open source GPU, from left to right: Mr. Jonas Ferdigg, Mr. Markus Kessler, and Mr. Blatnik (students on the project) and Dr. Nima TaheriNejad (supervisor of the project)

ICT has been granted a joint first prize in

The Eurolab4HPC Open Source Competition at the Week of Open Source Hardware (WOSH) June 11-14, 2019, ETHZ, Zürich, Switzerland, for the project

Nyuzi Open-Source GPU

Other students on the project (not seen on the photo) were Mr. Ioannis Daktylidis, Mr. Daniel Haslauer, and Mr. Edwin Willegger.

Best Teaching Awards 2019

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!

Further information: TU Vienna, Best Teaching Awards 2019

pyosys merged into master branch of Yosys

We are happy to announce that pyosys was merged into the master branch of the free and open hardware synthesis suite Yosys:


pyosys are Python bindings to the C++ data structures of Yosys, allowing it to access Yosys data structures and functions from a Python session, and to define Yosys passes in Python.

pyosys was initiated by Christian Krieg, implemented by Benedikt Tutzer, and supervised by Clifford Wolf, the author of Yosys.

We presented pyosys at the First Workshop on Open Source Design Automation (OSDA) 2019:


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