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Center for Artificial Intelligence and Cybersecurity – AIRI

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Laboratory for Digital Technologies in Researching Cultural Complexity

ZASPAL PAVE Multimedia Platform of Istrian traditional songs

03.01.2020

Digitalization, development, and processes of creating a multimedia digital platform ‘Zaspal Pave’, created in cooperation with the Faculty of Philosophy of the University of Rijeka and the county cultural institutions ‘Institution Ivan Matetic Ronjgov’ with the aim of creating a knowledge base and digital representation of the musical cultural heritage of the Northern Adriatic.

People in Motion: Entangled Histories of Displacement across the Mediterranean (1492-1923)

03.05.2019

People in Motion: Entangled Histories of Displacement across the Mediterranean, or PIMo, explores common forms of displacement and dispossession across the Mediterranean from the fifteenth century to the present. With a focus on people – and the ideas, objects, and writing that accompanied them – our goals include evaluating the ways and degree to which these […]

Distant Reading for European Literary History

03.04.2019

Grounded in the Distant Reading paradigm (i.e. using computational methods of analysis for large collections of literary texts), the project creates a shared theoretical and practical framework to enable innovative, sophisticated, data-driven, computational methods of literary text analysis across at least 10 European languages. Fostering insight into cross-national, large-scale patterns and evolutions across European literary […]

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Latest Projects

Knowledge Graphs in the Era of Large Language Models (KGELL)

LIVE Quantum – Development of an Integrated AI Platform for Multichannel Personalized Management of User Requests

Predicting Anomalous Trajectories Using Machine Learning

Adaptive Algorithms for Integrating Compressive Sensing with Deep Learning

Deep Learning for Smart Energy Systems Management

Latest Research Papers

Deep Unfolding ADMM Network for CS Image Reconstruction with Long-Short Term Residuals

XDT-FMARL: An Explainable Federated Multi-Agent Reinforcement Learning Framework for Energy-Efficient IoT Task Offloading

Proactive Context Aware Task Offloading in Digital Twin Driven Federated IoT Systems with Large Language Models

Pretraining and evaluation of BERT models for climate research

Digital Twin-Driven Federated Learning and Reinforcement Learning-Based Offloading for Energy-Efficient Distributed Intelligence in IoT Networks

Latest News

Knowledge Graphs in the Era of Large Language Models (KGELL)

LIVE Quantum – Development of an Integrated AI Platform for Multichannel Personalized Management of User Requests

LIVE Quantum project kick-off meeting

Pretraining and evaluation of BERT models for climate research

Invited lecture: “About the first GPS receiver on the Moon, and the other NASA space PNT stories” by James J. Miller (NASA)

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Center for Artificial Intelligence and Cybersecurity
  • jlerga@airi.uniri.hr
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University of Rijeka

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