Prof. Krzysztof Slot, Head of the Curriculum Board for the Field of Study, explained,
‘The projects explored different topics from novel methods of biometrics, through advanced tools for signal and image analysis and generation, to intelligent algorithms to comment on program code.’
The presentations were accompanied with interesting discussions, oftentimes stimulating further research and seeking opportunities to exploit what has already been produced over the course of what, as prof. Krzysztof Ślot emphasized, ‘were regular second-cycle degree classes.’ The students also made short videos to illustrate the ways they solved problems and potential applications of the outcomes of their projects.
The Dean of WEEIA, who is quite enthusiastic about AI, prof. Jacek Kucharski, said he felt proud of the Artificial Intelligence and Machine Learning first year of students,
'This degree program certainly is not easy, but they all made had completed the entire cycle, because they are exceptionally talented young people.’
The students demonstrated how to identify people or objects in a radar-monitored space, which may be useful in areas where images of individual people may not be recorded, for example.
Great commercial potential lies in another project involving a computer program that generates verbal " translations" of snippets of the source code, as it is expected to facilitate and speed up the work of corporate IT teams.
Another interesting idea is the tool for generating and modifying memory portraits based on text, just like when you generate realistic landscapes from a simple image involving a limited number of colors.
Yet another project involved a voice synthesizer capable of modulating the emotions carried in the voice, useful in any application where AI will enter into conversation with a human.
Lively discussion was sparked by the model of a fall detection system that relies on accelerometer readings. The model may be used in application software that would alert people of emerging accident risk. But the first outcome of this effort has been a collaborative research paper submitted for publication.
As I listened to the students' presentations and followed the accompanying discussions, I found it hard to disagree with the words of encouragement addressed for young people to study artificial intelligence and machine learning, 'The day after tomorrow will belong to artificial intelligence. Whether for better or for worse remains to be seen. One thing is certain though: tomorrow belongs to those who are engineering that coming of the new era, the era of intelligent machines.’
The students are well aware that competence in artificial intelligence is in high demand on the job market. Most of them are already in jobs, and prof. Krzysztof Ślot, wished future graduates to come across "business angels" on their professional journey.
Representatives of business also attended, although not in large numbers for the time being. All them left the seminar tremendously impressed by the students' presentations.