Communication through social media has been gaining importance in responses to major crises, such as COVID-19. In emergency situations, there is an urgent need to rely on trustworthy information. On the other side, we are all witnessing a huge amount of misinformation (fake news, conspiracy theories) also spreading on social media, especially during a crisis. […]
News
Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian
The rapid growth in the amount of data in the digital world leads to the need for data compression, and so forth, reducing the number of bits needed to represent a text file, an image, audio, or video content. Compressing data saves storage capacity and speeds up data transmission. In this paper, we focus on […]
Does AI Brain Implant Compromise Agency? Examining Potential Harms of Brain-Computer Interfaces on Self-Determination
Novel generations of Brain-Computer Interface (BCI) technologies operated by AI, in particular, predictive neurotechnologies, offer enormous potential to support implanted individuals’ decisions and capacities for self-determination, such as empowering agential cognitive capacities. This chapter examines the ethics of predictive AI BCI, especially the question of potential risks of harm associated with having a predictive AI […]
Informed consent, military medical enhancement, and autonomous AI systems: requirements, implications, concerns
Inspired by the recent development of autonomous artificial intelligence (AI) systems inmilitary and medical applications I envision the use of one such system, an AI-empowered exoskeleton smart-suit called the Praetor Suit, to question the important ethical issues stemming from its use. The Praetor Suit would have the ability to monitor the service member’s physiological and […]
European Network for assuring food integrity using non-destructive spectral sensors
There is an increasing need for the food industry to provide information on their products in order to satisfy quality standards and to protect their products from food fraud. Recent developments in technology, and advances in big data analytics, provide the opportunity for step-changes that can transform the role of food integrity assurance from one […]
Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network
This study describes a deep convolutional neural network (CNN) based technique to predict intensity measurements (IMs) of earthquake ground shaking. The input data to the CNN model consists of multistation, 3C acceleration waveforms recorded during the 2016 Central Italy earthquake sequence for M ≥ 3.0 events. Using a 10 s window starting at the earthquake origin time, we find […]
AIRI Center at the CroAI (Croatian AI Association)
How to increase collaboration between the academia and (IT) industry? Discussed at the CroAI (Croatian AI Association) online meeting while presenting the UNIRI Center for AI and Cybersecurity.
Online meeting of the AIRI Center
Online meeting of the UNIRI Center for Artificial Intelligence and Cybersecurity held on 27th of May, 2020 with an exciting presentation of the research on ML-based computer vision done by the team of Assoc. prof. Dr. sc. Marina Ivašić-Kos
Corpus-Based Paraphrase Detection Experiments and Review
Paraphrase detection is important for a number of applications, including plagiarism detection, authorship attribution, question answering, text summarization, text mining in general, etc. In this paper, we give a performance overview of various types of corpus-based models, especially deep learning (DL) models, with the task of paraphrase detection. We report the results of eight models […]
National Competence Centres in the Framework of EuroHPC (EUROCC)
H2020-JTI-EuroHPC-2019-2
