Sponsors & Partners
This track highlights methodological advances in AI for architecture, engineering, and conservation, including computer vision, foundation models, and AI frameworks for resilience, monitoring, and construction management. It also covers applications such as defect detection, 3D reconstruction, predictive maintenance, environmental monitoring, and cultural heritage preservation.
See moreThis track focuses on intelligent environments that proactively support people in their everyday activities, while taking into account affect and social behaviour. It welcomes work on environments that are aware of users' needs, emotions, and behaviours across settings such as homes, schools, hospitals, transport facilities, and other everyday spaces.
See moreThis track focuses on the applications of artificial intelligence to the legal domain, including legal reasoning, legal knowledge, and decision-making processes. It also addresses the legal, technical, and ethical issues raised by data-driven, autonomous, and self-learning AI systems.
See moreThis track brings together research on AI methods, systems, and applications for real-world industrial and societal challenges. It focuses on AI for smarter, more sustainable, and more human-centred environments across domains such as industry, logistics, public services, mobility, energy, and data-driven services.
See moreThis track focuses on AI methods for time-dependent data, including time series, data streams, and other temporal structures where order and evolution over time are central. It covers learning under non-stationarity, concept drift, irregular sampling, and missing values, as well as spatio-temporal modelling and applications across multiple domains.
See moreThis track explores the role of AI in addressing current medical challenges, from agentic systems and multimodal generative models to decision support and treatment simulation. It welcomes work on how AI, data science, sensing, ubiquity, and intelligent agents can improve medical practice and support health professionals.
See moreThis track promotes discussion on practical AI advances for transportation systems and mobility. It focuses on how AI can help build smarter, greener, safer, and more sustainable transportation solutions by connecting theory and practice in real-world settings.
See moreThis track covers general AI methodologies and architectures, especially work that does not fit clearly within other thematic tracks. It welcomes interdisciplinary contributions spanning theoretical and experimental computer science, cognitive science, neuroscience, and the design of complex intelligent agents.
See moreThis track addresses ethical challenges in AI, with particular emphasis on trustworthiness, explainability, interpretability, responsibility, and accountability. It also welcomes practical contributions that consider social, ethical, and privacy issues in real-world AI applications.
See moreThis track focuses on recent advances in generative and agentic AI, including models and systems that support content generation, reasoning, planning, and action across multiple modalities. It welcomes contributions on foundational models, agent-based frameworks, human-AI interaction, evaluation, robustness, and the integration of generative and agentic capabilities into practical workflows.
See moreThis track focuses on the design, development, and evaluation of AI systems that prioritise human needs, values, agency, and well-being at every stage of their lifecycle. It welcomes contributions on human-AI interaction, explainability, trust, ethics, participatory design, and responsible AI, with an emphasis on real-world applications that support human capabilities, oversight, and inclusive outcomes.
See moreThis track brings together research on extracting useful knowledge from data and supporting data-driven decision-making in complex real-world environments. It welcomes methodological and applied work in areas such as machine learning, data mining, analytics, decision support, and explainable AI.
See moreThis track covers formal and applied research in knowledge representation and reasoning, where knowledge is explicitly represented in declarative form and processed by dedicated reasoning engines. It also welcomes contributions showing the role of KRR in implemented systems and in related areas within and beyond AI.
See moreThis track brings together researchers and practitioners in human language technologies, including natural language processing, computational linguistics, natural language engineering, text mining, information retrieval, and large language models. It welcomes contributions on both theoretical foundations and practical applications for understanding, analysing, and extracting value from textual data.
See moreThis track addresses the growing computational and energy demands of modern AI by exploring energy-efficient AI and neuromorphic computing. It provides a forum for research on low-power edge AI, spiking neural networks, brain-inspired models, and sustainable AI systems.
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