Some premature infants spend weeks in incubators. During this time, their nervous system continues to develop. It is medically proven that prolonged periods of pain during this phase impact negatively the development of their white matter. However...
B-prepared builds on a freely accessible massive collaborative knowledge base and data hub, demonstrating its usefulness via three demonstrator applications: a cooperative multiplayer VR serious game, simulating real disaster scenarios for the safest...
With technology rapidly enhancing and becoming more affordable, commercial and consumer drones have become increasingly popular since the beginning of the 21st century. They pose serious threats to safety (e.g. disturbances for airports and airplanes...
The project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are...
The Multinational Capability Development Campaign (MCDC) Artificial Intelligence Supported by Sensor Fusion project was jointly organised by HUN-REN SZTAKI (Hungarian Research Network Computer and Automation Research Institute), the MH Military...
The Sun is an enigmatic star that produces the most powerful explosive events in our solar system - solar flares and coronal mass ejections. Studying these phenomena can provide a unique opportunity to develop a deeper understanding of fundamental...
Development of an AI-supported, camera-based product family for monitoring and predicting daily activities of premature infants
Department in charge
Currently used methods rely exclusively on objective diagnostic tools for monitoring the condition of infants. However, professionals increasingly recognize the importance of individual quality of life for patients, although suitable tools for...
The SLICES-RI program aims to provide research infrastructure for IT experiments and to develop and provide related services in areas such as 5G, 6G, NFV, Internet of Things, and cloud computing. Based on the two preceding projects within SLICES-RI...
Integrated measurement device demonstrator for phototropic industrial microalgae reactors
Department in charge
The goal of the project is to develop a series of instruments that autonomously measures the physiological data of phototropic industrial microalgae and environmental parameters essential for automating algae cultivation. These instruments will...
With new hardware and artificial intelligence against skin cancer: The aim of the iToBoS project is to train an AI system able to integrate information from different sources, assessment of individual moles while considering the specific...
PREdictor for HUman-RObot COllaboration (PREHUROCO) utilizes interactive technologies in a new innovative way to create a cobot independent pre-collision approach for reducing these cumulative delays. PREHUROCO technology creates a shared virtual...
The aim of the R&D project led by Medicor Ltd. is to increase the survival chances and ensure the quality survival of neonates born with very low birth weight (500 grams). The development is based on an already successful cooperation established in...