The Goethe-Institut engages in intercultural exchange and interdisciplinary discourse within a global context. With the AI Residency Programme we aim to initiate both a dialogue between art and technology and a dialogue reaching beyond the borders of European countries. The programme aims to promote artistic access to developments in the field of artificial intelligence. Art […]
News
Evaluation of Design Storms and Critical Rainfall Durations for Flood Prediction in Partially Urbanized Catchments
This study investigates and compares several design storms for flood estimation in partially urbanized catchments. Six different design storms were considered: Euler II, Alternating Block Method, Average Variability Method, Huff’s curves, and uniform rainfall. Additionally, two extreme historical storms have been included for comparison. A small, ungauged, partially urbanized catchment in Novigrad (Croatia) was chosen […]
Thermal Object Detection in Difficult Weather Conditions Using YOLO
The scientific article “Thermal Object Detection in Difficult Weather Conditions Using YOLO” by M. Kristo, M. Ivašić-Kos, M. Pobar was published in journal IEEE Access, 2020, vol. 8, 125459-125476, DOI: 10.1109/ACCESS.2020.3007481 and is available online.
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
Scene classification relying on images is essential in many systems and applications related to remote sensing. The scientific interest in scene classification from remotely collected images is increasing, and many datasets and algorithms are being developed. The introduction of convolutional neural networks (CNN) and other deep learning techniques contributed to vast improvements in the accuracy […]
Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)
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. […]
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 […]
