ERCIM News 136
January 2024
Special theme Large Language Models
Guest editors Diego Collarana Vargas (Fraunhofer FIT) and Nassos Katsamanis (Athena RC)
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by Peter Kunz (ERCIM)
January 2024 marks the conclusion of the ambitious European H2020 project, TERMINET, which envisions a revolutionary next-generation IoT architecture. Combining state-of-the-art technologies like SDN, multiple-access edge computing, and virtualization, TERMINET aims to transform the IoT landscape with intelligent devices tailored for low-latency, market-driven use cases.
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by Christiane Walter (PIK), Luis Costa (PIK) and Sara Dorato (T6)
LOCALISED is a four- year H2020-funded research project (October 2021 – September 2025) that develops, in a co-design process, tailored end-user products and services for local and regional policy-makers, administrations, businesses and citizens, to speed up sub-national decarbonisation processes while considering climate risks and adaptation needs. The flagship outputs are the Decarbonisation Profiler and the Net-Zero Business Consultant, providing information for all NUTS3-regions in Europe, currently under development.
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by Florian Skopik and Benjamin Akhras (Austrian Institute of Technology)
Open-source intelligence (OSINT) provides up-to-date information about new cyber-attack techniques, attacker groups, changes in IT products, updates of policies, recent security events and much more. Often dozens of analysts search a multitude of sources and collect, categorise, cluster, and rank news items from the clear and dark web in order to prepare the most relevant information for decision makers. A tool that supports this job is “Taranis NG” from the Slovakian CERT. This solution ingests information from many types of sources such as websites, RSS feeds, emails and social media channels and makes them searchable. It also supports the creation of reports and daily summaries. However, the number of sources and news items is continuously growing, making it increasingly difficult to search them purely manually. These circumstances call for the application of novel natural language processing (NLP) methods to make OSINT analysis more efficient.
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by Dimitris Angelakis, Lida Charami, Pavlos Fafalios and Christos Georgis (FORTH-ICS)
The new Archaeological Museum of Messara, which opened its doors to visitors on 22 April 2023, is entirely dedicated to the antiquities of the Messara region in Heraklion, Greece. The Centre for Cultural Informatics of FORTH-ICS has undertaken the task to provide a comprehensive data management solution for the scientific and administrative documentation, research and promotion of the new museum’s important assets.
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by Peter Kieseberg, Simon Tjoa (St. Pölten UAS) and Andreas Holzinger (University of Natural Resources and Life Sciences)
The burgeoning landscape of AI legislation and the ubiquitous integration of machine learning into daily computing underscore the imperative for trustworthy AI. Yet, prevailing definitions of this concept often dwell in the realm of the abstract, imposing robust demands for explainability. In light of this, we propose a novel paradigm that mirrors the strategies employed in navigating the opaqueness of human decision-making. This approach offers a pragmatic and relatable pathway to cultivating trust in AI systems, potentially revolutionising our interaction with these transformative technologies.