The AIR Institute investigates different Distributed Ledger Technologies and their applications, which range from the establishment of smart contracts for traceability in the agro-food industry to the development of cryptocurrencies for the peer-to-peer exchange of energy.
The AIR Institute studies and employs deep neural networks in different data learning tasks, for example, for the detection of similar objects in images, health complications prediction, or development of robots that react to human emotions.
The sectors for deep tech applications are life science, computing, food and agri tech, aerospace, energy and clean-tech, industrial technologies, telecom, new materials, chemistry.
Deep tech also integrates artificial intelligence, deep learning, machine learning and several other technologies.
Internet of Things
The AIR Institute develops intelligent connected devices that transform indoor and outdoor spaces into smart environments. Their creations include in-field sensors for crop and livestock monitoring, electronic textiles that prevent hazards in industries, medical devices for early detection of infectious disease outbreaks.
Natural Language Processing
Natural Language Processing is used for numerous purposes, for example, to design robots that are capable of having a conversation with humans, recognizing the sentiments of people, determining their opinion about a topic, or detecting online terrorist propaganda and radical groups.