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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Connectathon 2019

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.

Link to press release:

Link to the Energy+IT-Group:

ICT TU Wien @ Connectathon 2019

Open House 2019

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.

Link to the Energy+IT-Group:

Open house at ICT