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16 students, along with enthusiastic staff and lecturers, moral and financial support from sponsors, Saxon Switzerland and, of course, artificial intelligence (AI) – these were the ingredients for the success of the Summer Academy, which took place for the second time this year in September. It was particularly noteworthy that the number of female students taking part quadrupled and that, for the first time, an international student also took part. Funding from the Student Council of the CB Faculty, IAV GmbH Ingenieurgesellschaft Auto und Verkehr, Siemens AG and the INW Faculty meant that the course was free of charge for the students, thereby making participation possible for most of them in the first place.
The aim of the event, organised under the auspices of SICIM in collaboration with IAV GmbH from Chemnitz, was to broaden, deepen and put into practice knowledge in the field of artificial intelligence, as well as to provide an introduction to the principles and methods of quantum computing.
For this reason, the theoretical part of this year’s summer school – featuring presentations prepared by the students themselves – focused, on the one hand, on providing a general overview of the broad field of AI/machine learning, the focus was on Transformer and Denoising Diffusion models and their applications in ChatGPT and DALL-E 2/Stable Diffusion, as well as on the possibilities for detecting AI-generated data, such as images. This was followed by a presentation of the theoretical foundations of quantum computing, as well as existing technical implementations and frameworks already available, such as the IBM Quantum Platform. Further presentations covered initial real-world applications such as quantum cryptography and post-quantum cryptography methods. These two subject areas were linked by a presentation on the potential for accelerating standard machine learning methods using quantum computing.
Following the theoretical section, there was also ample opportunity for practical application. In the so-called ‘Maker Session’, the participating students were able to explore quantum algorithms and the associated programming in a guided workshop. Furthermore, with the help of drones and remote-controlled cars, they were able to apply AI directly, thereby putting the theoretical principles presented earlier into practice and testing them out. This resulted in presentable prototypes, such as drones controlled by hand gestures and an autonomous model car.
Another highlight was the visit to the airfield in Jahnsdorf (Chemnitz-Jahnsdorf Airport). Here, the participating students were able to test and optimise the data analysis programmes they had written specifically for this purpose in the partially autonomous car ‘Alice’, together with staff from IAV GmbH Ingenieurgesellschaft Auto und Verkehr.
To balance out the intellectual challenges, as in the previous year, a wide range of hikes were undertaken. We climbed the Lilienstein, visited the Bastei Bridge and walked across the Schrammsteine. Activities such as a guided climbing session on a sandstone face, a visit to Königsstein Fortress and a trip on a paddle steamer enriched the excursion and left plenty of time to enjoy the beauty of the Saxon Switzerland National Park in absolutely glorious weather. As evening fell, the discussions that had begun earlier were continued over a barbecue and around a campfire.
Professor Alexander Lampe, one of the organisers of the Summer School, is delighted with the diversity and academic rigour of the presentations. “The students have prepared and delivered the presentations with great meticulousness and academic depth, so it would be a shame to use them only once. That is why we are now making the presentations available to the public once again as part of a series of events, and we look forward to welcoming a large number of participants and lively discussions.”
The talks will take place on the following dates and at the following times:
25 October 2023 | 5.30 pm – 7.00 pm | Room 5-119
AI – an overview
Dominik Knoll and Jan Wanzek
1 November 2023 | 5.30 pm – 7.30 pm | Room 5-119
ChatGPT – Principles and Possibilities
Wilhelm Rosinski
7 November 2022 | 5.30 pm – 7.00 pm | 39–004 Image
Generation with DALL-E 2 and Stable Diffusion
Fabio Bonitz
15 November 2023 | 5.30 pm – 7.00 pm | 5-119
Spiking Neural Networks – the next generation of AI hardware?
Florian Spitzbarth
29 November 2023 | 5.30 pm – 7.00 pm | 5-119
Quantum Computing – An Introduction
Marvin Seegert
6 December 2023 | 5.30 pm – 7.30 pm | 5-119
Fundamentals of Quantum Computing
Alexander Lampe and Janike Katter
13 December 2023 | 5.30 pm – 7.00 pm | 5-119
Quantum Fourier Transform and Factorisation
Aljoscha Berlitz
20 December 2023 | 5.30 pm – 7.00 pm | 5-119
Cryptography in the Quantum Age
Denise Weinert
10 January 2024 | 5.30 pm – 7.00 pm | Room 5-119
AI and Quantum
Computing Shivakrishna Karnati
The lectures will also be streamed at:
https://hsmw.zoom-x.de/j/65972583920?pwd=cjJnQmEybVNCdDkvNVpSbFdaOWpzQT09
Professor Alexander Lampe is available to answer any enquiries.
Text: Florian Spitzbarth, Professor Alexander Lampe, Annett Kober
Photos: Mittweida University of Applied Sciences (1), private