May 2024 – FAAI Job Hub

A5.7: Final multiplier event

By vmartsenyuk | May 30, 2024 | Comments 0 Comment

This year’s 12th edition of the Beskid Academic Day conference, organized by the RESET scientific club operating at the University of Bielsko-Bialski, was devoted to topics related to Artificial Intelligence. The event has also become an official event of The Future Is In Applied Artificial Intelligence project, No. 2022-1-PL01-KA220-HED-000088359. The agenda, which included nine AI-related lectures, included the following topics:

1.	Inaugural lecture – The Future is in Applied Artificial Intelligence: the outputs of the project FAAI. – prof. dr hab. Vasyl Martsenyuk – UBB
2.	AI, a threat or… Is it high time to change jobs? Arcadiusz Benedict – Pitney Bowes.
3.	A brief history of money. Will AI change the monetary system? Roman Majewski Crypto Mines.
4.	When will AI create a video game? Artur Loska – Fool’s Theory
5.	Malware vs antimalware. Michał Komendera UBB
6.	The role of Cryptocurrency Miners in building decentralized AI. Konrad Duszyński – Crypto Mines.
7.	Does IT have a future in Podbeskidzie? Wojciech Bachta – Da Vinci Studio.
8.	Artificial intelligence and game design. Marcin Bernaś – UBB
9.	Copyright and artificial intelligence through the eyes of a lawyer. Marek Nowicki – law firm.

The conference was officially inaugurated by the Rector of the University of Bielsko-Biala, Prof. Jacek Nowakowski. He familiarized the participants with the structure of the university, individual faculties and faculties. In his speech, he drew attention to the accelerating development of artificial intelligence and its rapidly growing capabilities. Finally, he wished all participants of the conference fruitful and knowledgeable lectures.

During the inaugural lecture, Prof. Vasyl Martsenyuk presented the current state of use of artificial intelligence in various areas of life and familiarized the conference participants with the main assumptions and goals of the FAAI project.

During the lecture entitled Artificial Intelligence and Game Design, Dr. Marcin Bernaś presented the student projects related to AI implemented at UBB and talked about the practical applications of artificial intelligence in game design based on the FAAI project materials on the real applications of AI in IT companies in Europe.

During the conference – in the lobby in front of the conference room – IT companies using AI in their IT products set up their stands:

SI Record
Vattenfall from Poland
Pitney Bowes
Regional Development Agency
Infonet Project
NEXT!

One of the blocks of the conference was a discussion panel on aspects of the FAAI project in the process of teaching AI and its use in the daily work of companies. The panel was attended by: Dr. Tomasz Gancarczyk – UBB (FAAI), Filip Wątorek – Pitney Bowes, Robert Gawlak – SI Record, Przemysław Dana – Vattenfall Polska.

The conference was attended by over 300 participants, who could listen to many interesting lectures related to AI and learn about aspects of its use in the educational process and in projects carried out on a daily basis in IT companies.

In addition to the lectures, participants could also take part in 4 workshops on AI:

1.	Process Automation – ChatGPT in the work of a programmer. Filip Wątorek as Pitney Bowes
2.	Build AI solutions with select Azure AI Services. Krzysztof Burejza – Data Community Podbeskidzie.
3.	Scrum in practice. Mikołaj Kukurba – Vattenfall Poland.
4.	Introduction to the world of cyber and pentesting. Michał Kłaput – Foundation 17 53c

Lectures:

Inaugural lecture – Areas of application of artificial intelligence. FAAI Project – Prof. Vasyl Martsenyuk – UBB

AI, a threat or… Is it high time to change jobs? Arcadiusz Benedict – Pitney Bowes.

A brief history of money. Will AI change the monetary system? Roman Majewski Crypto Mines.

When will AI create a video game? Artur Loska – Fool’s Theory

Malware vs antimalware. Michał Komendera UBB

The role of Cryptocurrency Miners in building decentralized AI. Konrad Duszyński – Crypto Mines.

Does IT have a future in Podbeskidzie? Wojciech Bachta – Da Vinci Studio.

Artificial intelligence and game design. Marcin Bernaś – UBB (FAAI)

Copyright and artificial intelligence through the eyes of a lawyer. Marek Nowicki – law firm.

All companies whose representatives took part in the conference

Beskid IT Academic day

SI Record
Vattenfall from Poland
Pitney Bowes
Regional Development Agency
Infonet Project
NEXT!
Fool’s Theory
Crypto Mining Pools
DaVinci Studio
FabLab Bielsko-Biała
BDY PSA
Selleo
Iteo
BlackFrog
JD Sport Fashion
UX community
Data Community Poland
Kaczmarski Group
District Road Administration
WeNet Group S.A.
inEwi
MakoLab
WASKO
Marek Nowicki Law Firm
conTeyor

A5.4: Teacher training on AAI

By vmartsenyuk | May 20, 2024 | Comments 0 Comment

Teacher Training A5.4 in Trnava, Slovakia

Dates: May 15-19, 2024
Location: University of Ss. Cyril and Methodius in Trnava, Slovakia

The A5.4 Teacher Training event, held from May 15-19, 2024, in Trnava, Slovakia, brought together educators from five partner institutions to develop comprehensive teaching materials and guidelines for Artificial Intelligence (AI) and Machine Learning (ML) education. Organized by the University of Ss. Cyril and Methodius in Trnava, this training focused on equipping teachers with practical knowledge, resources, and frameworks to support and enhance AI education within various academic environments.

Participating Institutions:

University of Bielsko-Biala, Poland (UBB)
University of Library Studies and IT, Bulgaria (ULSIT)
The University of Nis, Serbia (UNI)
The University of Ss. Cyril and Methodius in Trnava, Slovakia (UCMT)
University of Montenegro, Montenegro (UoM)

Training Overview and Agenda Highlights

Across five days, participants worked collaboratively to establish practical resources, including guidelines and educational materials for AI instruction. This training not only focused on content development but also provided a forum for discussing and refining methodologies, curriculum design, and teaching strategies for AI-related courses.

Day 1: Opening and Good Practice Guidelines

The training commenced with a welcome address by UCMT, which introduced participants to each other and set the tone for the week’s collaborative work. ULSIT led the first session on Good Practice in Developing Guidelines, sharing methods for structuring effective teaching resources. This session offered practical insights into creating comprehensive yet adaptable teaching materials, critical for AI education across diverse institutional settings.

Day 2: Developing the AAI Teacher Guide

UBB led a focused session on the development of the AAI Teacher Guide, which provides educators with foundational AI concepts, teaching strategies, and adaptable resources for classroom use. Following this, teachers collaborated in team sessions to expand and refine the guide with input from UCMT, ensuring that it would be accessible and relevant across different educational contexts.

Day 3: Creating the AAI Student Guide

ULSIT took the lead on Day 3 to develop the AAI Student Guide. This guide aims to provide students with clear, foundational information on AI principles and practical skills, tailored to varying levels of AI knowledge. The guide also includes interactive activities and project-based learning recommendations, supporting a hands-on approach to AI education.

Day 4: Building the AAI Business Guide

Day 4 shifted focus toward practical applications of AI in business, with UNI presenting the initial framework for the AAI Business Guide. This resource is designed to bridge the gap between academic AI education and industry applications, preparing students with the knowledge and skills they’ll need to understand and apply AI solutions in professional settings. UoM and UNI facilitated collaborative team sessions, encouraging participants to integrate business-relevant AI scenarios and case studies.

Day 5: Certification and Round Table on Future Improvements

On the final day, all participants received certificates of completion as recognition for their involvement in developing these essential AI resources. This was followed by a round-table discussion on enhancing the AAI framework, including potential revisions to methodology, curriculum, and content to align with emerging trends and requirements in AI and ML. Institutional coordinators concluded with a summary of training outcomes and an outline of future project steps to ensure continued progress and support.

Conclusion

The A5.4 Teacher Training in Trnava served as a productive and impactful event, allowing educators to collaboratively build and refine resources that will enhance AI and ML education for students, teachers, and industry professionals alike. By developing these guides, the training has contributed to a stronger foundation for AI learning across participating institutions, ensuring that both educators and students are well-prepared for the demands of the AI field. As the FAAI project progresses, these resources will play a crucial role in supporting an informed, skilled generation of AI practitioners.

A5.5: Student training on AAI

By vmartsenyuk | May 20, 2024 | Comments 0 Comment

Student Training A5.5 in Trnava, Slovakia

Dates: May 15-19, 2024
Location: University of Ss. Cyril and Methodius in Trnava, Slovakia

The A5.5 student training, held from May 15-19, 2024, in Trnava, Slovakia, brought together students from five partner institutions for an immersive experience in the practical applications of artificial intelligence (AI) and machine learning (ML). Organized by the University of Ss. Cyril and Methodius in Trnava, the training aimed to equip students with hands-on skills in AI across multiple domains, from industry and healthcare to ecology and smart cities.

Participating Institutions:

University of Bielsko-Biala, Poland (UBB)
University of Library Studies and IT, Bulgaria (ULSIT)
The University of Niš, Serbia (UNI)
The University of Ss. Cyril and Methodius in Trnava, Slovakia (UCMT)
University of Montenegro, Montenegro (UoM)

Training Overview and Agenda Highlights

Over five days, students delved into various AI modules, gaining practical skills and collaborating on projects designed to address real-world challenges through AI-driven solutions. Each session, led by expert representatives from partner institutions, introduced students to AI applications in science, industry, and business, with modules covering both foundational knowledge and specialized fields.

Day 1: Opening and Foundational Modules

The training began with a welcome session by the host institution, UCMT, followed by introductions from participants. ULSIT presented an overview of the FAAI project, including its objectives and target audiences, to familiarize students with the broader context and goals of their work.

The day’s training sessions included:

Module 1: Basic principles of AI in scientific and business applications, presented by ULSIT
Module 2: An exploration of embeddable AI modules from major providers like IBM, Microsoft, Google, and AWS, led by UNI
Module 3: Conducting AI-related research with practical applications, also by ULSIT

Day 2: Technical Modules and Team Collaboration

Building on foundational knowledge, Day 2 introduced students to more technical aspects:

Module 4: Building AI-powered software applications, led by UCMT
Module 5: Implementation of external AI modules, presented by UBB
Module 6: AI-based solutions for ecology, highlighting AI’s potential to address environmental challenges, presented by ULSIT

The day ended with collaborative team-working sessions where students worked on project ideas, guided by mentors from UBB and UCMT.

Day 3: AI Applications in Key Sectors

Day 3 showcased AI applications across diverse sectors:

Module 7: AI for agriculture, led by UoM, explored how AI tools are used to optimize crop production, resource management, and sustainability.
Module 8: AI in healthcare, presented by UBB, introduced solutions for predictive diagnostics, patient monitoring, and personalized care.
Module 9: AI solutions for smart cities, by UCMT, which highlighted how AI is transforming urban planning, transportation, and public services.

In the afternoon, students continued with their team projects, mentored by ULSIT experts.

Day 4: Industrial and Specialized AI Applications

On Day 4, students delved into industrial and robotics applications:

Module 10: AI in industry, presented by UNI, which included AI-driven manufacturing, predictive maintenance, and automation.
Module 11: AI in robotics, by UoM, discussed the role of AI in robotics innovation, from autonomous machines to human-robot collaboration.
Module 12: Application of other AI modules, led by UNI, focused on lesser-known but impactful AI applications.

Afternoon team-working sessions allowed students to finalize their project concepts, with guidance from UNI and UoM.

Day 5: Project Presentations and Certificate Ceremony

The training concluded with project presentations, where student teams showcased AI solutions they had developed, applying knowledge from each module to create innovative concepts targeting specific societal or industrial challenges. Projects ranged from AI-driven environmental monitoring systems to smart city applications and personalized healthcare tools. Each presentation was followed by a brief Q&A session, allowing teams to receive feedback and suggestions from trainers and peers.

Finally, all participants received certificates of completion, celebrating their dedication, hard work, and newly acquired expertise in AI and ML.

Conclusion

The A5.5 training in Trnava provided a comprehensive introduction to AI applications for the students, equipping them with valuable skills and practical knowledge that will benefit their academic and professional pursuits. This training was not only a stepping stone in AI education but also an inspiring experience for students, allowing them to collaborate with peers across countries and apply their skills in innovative ways. The FAAI project remains committed to supporting such experiences, fostering a skilled generation of AI practitioners ready to meet the challenges of tomorrow.