Gonçalo Gomes Araújo PhD at Nova FCT We value a mathematical theory for its generality and its tractability. For example, a magma (that is, a set with a binary operation) is very general because any theorem on it will have an impact on almost all algebras and possibly beyond, but the structure is so weak […]
AI/TP Methods for maximizing generality and tractability of algebras Read More »
Hakob Grigoryan PhD at NVISION With the evolution of intelligent sensing devices and the Internet of Things (IoT), a vast amount of data is generated from various sources, including sensors, cameras, and network infrastructures, and is transmitted to servers for analysis. Data streaming from sensors in IoT systems might face quality issues like incompleteness due
Patrik Goldschmidt PhD candidate at Kempelen Institute of Intelligent Technologies With the rise of information technology and the Internet, the number of cybersecurity incidents has grown immensely. As a response, the research area of Intrusion Detection Systems (IDSs), aiming to detect and mitigate cyber threats, has gained significant attention. Our research focuses on Network IDSs
Exploring Intrusion Detection Knowledge Transfer Between Network Environments Read More »
Subbarao “Rao” Kambhampati, professor of computer science at Arizona State University, will give a keynote lecture at the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. His talk will be about the role of LLM:s in planning tasks.
Carles Sierra, Research Professor and the Director of the Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Counci and president of EurAI, will give a keynote at the opening session of the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. His talk will be about enineering moral values in autonomous agents.
Keynote by Carles Sierra Read More »
Wendy Ju, associated professor at Cornell University, will give a keynote lecture at the opening session of the 4th TAILOR conference “Trustworthy AI from Lab to market”, 4-5 June 2024, Lisbon. Her talk will be about interaction intelligence.
Keynote by Wendy Ju Read More »
Muhammad Waseem Postdoctoral Researcher at Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland Large Language Models (LLMs) are advanced AI tools capable of understanding and generating human-like text, advancing various sectors, including healthcare. This project aims to enhance healthcare services using LLMs, focusing on improving their trustworthiness for clinical applications. Trustworthiness encompasses reliability, fairness,
Enhancing Trustworthiness in Healthcare Large Language Models Read More »
Giacomo Cignoni Research Fellow at the University of Pisa Learning continually from non-stationary data streams is a challenging research topic of growing popularity in the last few years. Being able to learn, adapt and generalize continually, in an efficient way appears to be fundamental for a more sustainable development of Artificial Intelligent systems. However, research
Continual Self-Supervised Learning Read More »
Lennert De Smet PhD at KU Leuven Transparency and technical robustness are two fundamental requirements for AI systems following the European Union AI Act, especially in higher-risk domains. Transparency is intricately related to the notion of explainability, allowing an AI system to accurately describe the reasoning behind its predictions. Through such explanations does the system
Tractable and Explainable Probabilistic AI Read More »
Georgios Chalkiadakis Professor at Technical University of Crete Current mobility-as-a-service platforms have departed from the original objectives of the sharing economy-inspired social ridesharing paradigm: regrettably, they view drivers as taxi workers; focus on profit maximization rather than fair travel costs’ allocation; and disregard essential private preferences of users (relating for instance to their feeling of
