Program

The talk will focus on presenting the European project ANTIDOTE, its objectives and its importance in addressing contemporary cybersecurity challenges in Artificial Intelligence.

Bioinformatics and Human Electrophysiology Lab, Department of Informatics, Ionian University 

Through a hands-on workshop, leveraging the IoT Tiles Toolkit, participants will have the opportunity to design «smart» scenarios that connect sensors, data and digital services, exploring how technology can improve everyday life and support sustainable solutions. The workshop emphasizes creativity, user-centered design and understanding of the fundamentals of smart environments.

Digitization of processes in higher education; specifically, the case study focuses on the analysis and digital optimization of Erasmus+ processes.

 Overview of Ionian Wikithon activities since 2022. Announcement, invitation, and schedule for the May 2026 events.

   The presentation of the transnational research project HELIX-SMART is aimed at students, young professionals, and anyone interested in digital innovation. We will present two key digital tools designed to help understand and enhance the digital maturity of businesses and freelancers. The first is a tool for assessing the Greece–Italy cross-border innovation ecosystem, which collects data from stakeholders to map the structure, performance, and digital transition capacity of regional ecosystems. The second is an online self-assessment tool for SMEs and freelancers that evaluates digital skills and readiness for smart transition, providing personalized feedback to help shape evidence-based policies and support actions. Finally, the design of a digital twin to map innovation in the region will be presented. 

Presentation of the activities and results of the 1st Ionian Minecraft Java Challenge. Announcement of the theme and judging panel for the 2nd Ionian Minecraft Java Challenge and the start of the competition.           

The discussion surrounding Generative and Agentic AI has dominated both public discourse and corporate strategies, yet the true nature of the technology often remains unclear. The capabilities of AI agents are often confused with the expectations surrounding them, while their actual costs and limitations are rarely discussed honestly.

In this workshop, we will explore how modern AI agents function and are trained, starting with the fundamentals of large language models and progressing to agentic systems that utilize tools, memory, and a degree of autonomy. Particular emphasis will be placed on the training process and the role of data: how it is collected, how it is evaluated, and how it influences a model’s final behavior, as well as why data quality and human supervision remain, perhaps more than ever, critical success factors.

The discussion then shifts to the more practical side: how much it actually costs to use such systems in a production environment, why replacing a worker is not always the most cost-effective option, and why many large organizations choose to build their own closed systems rather than rely on external services.

This workshop explores the emerging intersection of large language models (LLMs) and AI-driven music generation, focusing on how systems such as Suno AI music generator transform textual input into fully realized musical pieces. This workshop explores the emerging intersection of large language models (LLMs) and AI-driven music generation, focusing on how systems such as Suno AI music generator transform textual input into fully realized musical pieces. The workshop will also present work from the AI music project Valkruna (available on Spotify - https://open.spotify.com/artist/1Y2oVGSXiTI6o4G9WVXlgL), highlighting practical applications of AI-assisted music creation.

The workshop examines how lyrics function as a critical control signal in music generation pipelines, shaping not only semantic content but also musical structure, emotion, rhythm, and vocal delivery. Participants will gain insight into how LLMs interpret prompts, structure lyrical content, and guide downstream audio generation models.
In addition, the session highlights the importance of human–AI co-creation, emphasizing prompt design, stylistic steering, and iterative refinement as key creative practices. Through examples and discussion, we will explore how users can meaningfully influence generated outputs, raising broader questions about authorship, creativity, and artistic control in the age of AI.
The workshop is designed for researchers, practitioners, and creatives interested in generative AI, computational creativity, and music technology, and aims to provide both conceptual understanding and practical guidance for engaging with modern AI music systems.