Category: News

Methodology for collecting and analyzing good practices in the field of applied artificial intelligence

Methodology for collecting and analyzing good practices in the field of applied artificial intelligence

The work is fulfilled within the framework of Erasmus+ project “The Future is in Applied Artificial Intelligence” (FAAI) and devoted to the development the methodology for collecting and analyzing good practices in the field of applied artificial intelligence (AAI) regarding the competences, training, existing solutions and real cases, which can be used for developing training courses of competence based education. Here we propose the definition of good practice in the field of AAI together with the corresponding criteria and features. The offered methodology uses system research based on the data gathered from existing training courses in AAI, labor market, surveys filled in by academics, students and employers, AAI use cases in science and industry.

Full paper under this link: Methodology_collection

 

Publication: Electrochemical Biosensor Design Through Data-Driven Modeling Incorporating Meta-Analysis and Big Data Workflow

Publication: Electrochemical Biosensor Design Through Data-Driven Modeling Incorporating Meta-Analysis and Big Data Workflow

The objective of the work is to offer workflow enabling us to execute both empirical and analytical studies of enzyme kinetics. For this purpose, on the one hand, we are based on a series of experimental research involving the traditional methods and techniques used when studying biochemical reactions and designing electrochemical biosensors: conductance research, spectroscopy, and electromagnetic field study.

Full text can be found here: https://link.springer.com/chapter/10.1007/978-3-031-42508-0_22

The audio description can be found here:

Publication: The Role of Cyber-Physical Systems and Internet of Things In Development of Smart Cities for Industry 4.0

Publication: The Role of Cyber-Physical Systems and Internet of Things In Development of Smart Cities for Industry 4.0

The pace of urbanisation is currently increasing. Modern cities are striving to become more technologically advanced and “smarter”, combining the concept of sustainable development with an improved quality of life. At the same time, digital transformation is taking place, and a variety of flexible tools will help meet the growing challenges of urbanisation over the next
few decades. One of the tools of digital transformation is cyber-physical systems.
Cyber-physical systems (CPS) are a set of infrastructure and production systems that
combine computing (cyber) technologies integrated into the physical environment with
human interaction.

The full article text can found here: https://ceur-ws.org/Vol-3468/paper7.pdf

You can listen to article here:

Multiplier Event within activity A4.7: Da Vinci (22.08.2023)

Multiplier Event within activity A4.7: Da Vinci (22.08.2023)

The event commenced with an inaugural address by Vasyl Martsenyuk, the Head of Department of Computer Science at the University of Bielsko-Biala. His opening remarks set the stage for an insightful exploration of Applied Artificial Intelligence (AAI) within the context of the FAAI project.

Marcin Bernaś addressed the contemporary challenges faced by the field of Applied AI. His presentation provided a comprehensive overview of the complexities and hurdles that professionals in this domain encounter. The audience gained valuable insights into the evolving landscape of AAI.

Aleksandra Klos-Witkowska took the stage to introduce the FAAI project. She provided a detailed overview of the project’s objectives, and partner organizations, and identified target groups. The audience gained a deeper understanding of the project’s scope and potential impact on various stakeholders.

 

Key Initiatives Discussed:
• Development of a New AI Framework for Training in Higher Education (Presenter: Tomasz Gancarczyk)
• Broadening the Scope with Enhanced Understanding of Skills, Knowledge, and Competencies in AI (Presenter: Marcin Bernaś)
• Designing the AI Ecosystem Layers Based on Competency Matrix (Presenter: Aleksandra Klos-Witkowska)
• Preparing New Learning Content in the Area of AI and Machine Learning (Presenter: Vasyl Martsenyuk)

These presentations outlined crucial initiatives undertaken within the FAAI project, showcasing its dedication to revolutionizing AI education.

The multiplier event provided an invaluable platform for stakeholders to gain insights into the Erasmus+ project “The Future is in Applied Artificial Intelligence.” The engaging discussions and presentations highlighted the ambitious objectives and innovative strategies driving the FAAI project.

FAAI at European Games Esports Championships

FAAI at European Games Esports Championships

The European Games Esports Championships (#EGE23) was accompanied by three prestigious substantive events, including an organized cyclical conference devoted to gaming and related industries in Central and Eastern Europe. Professionals, scientists and administrators shared their knowledge and experience in one place. The UBB team representative was taking part in a panel considered Gaming in education. He stressed the important part of AI in this this area. Additionally, the leaflets and poster were presented.

Panayotova, Galina S,Dimitrov, Georgi P,Dimitrov, Willian A,Petrov, Pavel S,Petrova, Pepa V,Tsvetkova, Paulina T, One Approach to using R for Bayesian Analysis of Brain Signals, 2023, 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2023 – Proceedings Pages 115 – 118 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2023Nis; 29 June 2023 through 1 July 2023; Code 191047 ; ISBN – 979-835031073-3; DOI – 10.1109/ICEST58410.2023.10187310; Publisher – Institute of Electrical and Electronics Engineers Inc.;

Panayotova, Galina S,Dimitrov, Georgi P,Dimitrov, Willian A,Petrov, Pavel S,Petrova, Pepa V,Tsvetkova, Paulina T, One Approach to using R for Bayesian Analysis of Brain Signals, 2023, 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2023 – Proceedings Pages 115 – 118 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2023Nis; 29 June 2023 through 1 July 2023; Code 191047 ; ISBN – 979-835031073-3; DOI – 10.1109/ICEST58410.2023.10187310; Publisher – Institute of Electrical and Electronics Engineers Inc.;

The study of brain signals based on efficient computing is a new beginning in the research field aimed at finding a connection between human emotions and recorded BCI signals. Analysis of incoming brain signals and techniques for processing and classifying information are actively researched. Investigating these signals is a complex process that requires multidisciplinary skills and knowledge in computer science, signal processing, neuroscience, robotics, artificial intelligence, and more. This research focuses on the classification of brain-computer interface (BCI) data using Bayesian analysis. The aim of the paper is to study the classification of brain signals and the possibilities of reducing the number of channels. Experimental data were obtained using Emotiv Epoc 14+. The R programming language was used to process the data. The data were classified using Bayesian analysis in R.

FAAI in Paris

FAAI in Paris

On 15.06.2023, the project ‘The Future Is In Applied Artificial Intelligence’ (FAAI:2022-1-PL01-KA220-HED-000088359) was presented during a meeting with the staff of the EFREI Research Lab department at Efrei Paris-Panthèon Assas University. The meeting included presentations from experts in the field of neural networks and artificial intelligence from various academic and professional backgrounds. A member of the FAAI team presented the project’s ideas and its current status. The application of AI was discussed during the presentation, which attracted the attention of the meeting participants. They expressed satisfaction with the meeting and showed interest in the project and participating in its next edition.

Project FAAI has been presented on the 22nd International Conference on Artificial Intelligence and Soft Computing

Project FAAI has been presented on the 22nd International Conference on Artificial Intelligence and Soft Computing

The 22nd International Conference on Artificial Intelligence and Soft Computing ICAISC 2023 has been held in Zakopane (situated in the High Tatra mountains),
Poland in June 18-22, 2023.  The conference provided an excellent opportunity for scientists and engineers to present and discuss the latest scientific results and methods.

 

The FAAI team of University of Bielsko-Biala has presented the report devoted to good practice of AAI-based solution for the purpose of biosensor design. It was studied within the framework of the FAAI work package 2. The presentation during the poster session have attrected the attention of the conference participants. Moreover, the conference was a good chance for the project FAAI promotion and dissemination.
Also it has helped us to search new EU partners for cooperation in the field because the conference is focusing on a wide range of topics related to AI including:
Agent-based systems
Ant colony optimization
Approximate reasoning​
Artificial immune systems
Artificial Intelligence in modelling and simulation
Artificial Intelligence in scheduling and optimization
Artificial life
Bioinformatics and computational biology
Brain-machine interfaces
Cognitive systems and applications
Computer vision
Data mining
Differential Evolution
Evolutionary data mining
Evolutionary design
Evolutionary scheduling
Expert systems
Fuzzy Computing with Words
Fuzzy control and intelligent systems
Fuzzy decision making and decision support systems
Fuzzy logic and fuzzy set theory
Fuzzy optimization and design
Fuzzy pattern recognition
Fuzzy systems for robotics
Game theory
Intelligent database systems
Knowledge engineering
Machine learning
Modeling and identification
Molecular and quantum computing
Multi-agent systems
Collective intelligence
Natural language processing
Neural Network Theory and Architectures
Particle swarm optimization
Robotics and related fields
Rough sets and rough data analysis
Speech understanding
Supervised and Unsupervised Learning
Type-2 fuzzy logic
Various Applications
Web intelligence
Human–computer interaction
The Conference has been held in the hybrid mode: online and on-site in Zakopane.
All accepted papers will be included in the Springer LNAI conference proceedings.
UBB at International trainings in digital pedagogy co-financed by the EU

UBB at International trainings in digital pedagogy co-financed by the EU

 

 

While the use of digitalization tools and strategies in teaching and learning methods brings many benefits, progress is uneven and there is a need to improve practices in online methods, identify the “success and quality characteristics” of pedagogical practices, and help improve and inform the move towards a new paradigm educational.

In recent years, the university authorities, in particular the Faculty of Mechanical Engineering and Computer Science, have been paying attention to the development and implementation of innovative educational technologies. As a result, VR and IoT computer rooms equipped with modern equipment were created.

On June 7-9, in Bled (Slovenia), the International Training in Digital Pedagogy organized by the European Commission took place. The training was attended by representatives of Erasmus+ National Agencies and coordinators of relevant projects.

The aim of the training “Fostering digital pedagogies through international cooperation” was to share experiences and best practices in the use of digital pedagogy to strengthen international teaching and learning activities regarding student mobility and new mobility formats, COIL, joint programs, etc.

The event lasted two days and included expert panels with discussions on relevant European policies and funding opportunities and best practice presentations, exploring methodologies, added value and relevant challenges. The conference also provided a dedicated space for lab sessions, giving attendees the opportunity to exchange ideas, start thinking, and possibly develop new design ideas together with the help of experts.

Poland was represented by a team of 5 people led by the coordinator of the Team for Partnerships in the Higher Education Office of the FRSE, Ms. Anna Bielecka, who gave a paper on “Funding opportunities under Erasmus+ for digital pedagogies”, which contributed to a serious discussion.

The University of Bielsko Biala was represented by the Head of the Department of Computer Science and Automation, prof. dr hab. Vasyl Martsenyuk, who has been coordinating Erasmus+ educational projects in recent years, including those related to digital pedagogy. Here it is worth mentioning the Erasmus+ 2022-1-PL01-KA220-HED-000088359 project entitled “The Future is in Applied Artificial Intelligence” (FAAI), coordinated by ATH and which aims to connect universities and enterprises in order to: a) fill the current gap in artificial intelligence digital skills; b) build an ecosystem of key partners in AAI; d) promote business opportunities, via AI Job Hub (https://faai.ath.edu.pl), between universities and IT companies; е) support the creation of AI education curricula.

During the laboratory session Vasyl Martsenyuk suggested the title of the pilot project “AI-pedagogy for teachers”. A team of representatives from Slovenia, Portugal, Finland and Poland worked on the preparation of the exercise project application.

Based on discussions, panels and presentations of best practices, participants gained experience in researching problems and the potential of the latest innovations in the field of education development and international cooperation.

Student competition in the field of applied artificial intelligence

Student competition in the field of applied artificial intelligence

        

On 16.06.2023, according to the program of UniBIT for the implementation of tasks within the project “The Future Is In Applied Artificial Intelligence” (FAAI:2022-1-PL01-KA220-HED-000088359), a competition for student projects was held at the University of Library Studies and Information Technologies (ULSIT). The focus was on projects related to applied artificial intelligence in the field of informatics and computer science. The competition involved students from the Bachelor’s and Master’s degree programs in the departments of “Information Systems and Technologies” and “Computer Science” at ULSIT. Representatives from IBM were also invited to the event, and observed the student implementations with interest.

The student projects included theoretical or practical ideas, models, and applications in the field of applied artificial intelligence. The participants were evaluated by a three-member committee based on three main criteria: quality of the presentation, presentation skills, and project implementation quality. The most interesting student developments received special awards from the FAAI project, as well as awards from IBM and UniBIT. The special awards for the top three winners were a laptop backpack, wireless headphones, a webcam, and a wireless computer mouse. All participants also received promotional materials with information about the project.

The academic representatives of UniBIT expressed their satisfaction with the competition, and the students promised to participate with new ideas and implementations in its next edition.