Artificial Intelligence & Information Technologies
Artificial intelligence could see computers take on super-human powers – thinking and behaving just like us, and embedding themselves in our working world. Quantum technologies promise super-powerful processing, solving all sorts of complex data puzzles – like drug research – at lightning speed.
Explore other themes of FET research
Stories in Artificial intelligence & IT
Processing power beyond Moore’s Law
Single electron electronics developed by EU project TOLOP could pave the way for industrial scale quantum computing
DEDALE: mathematical tools to help navigate the Big Data maze
Smart society: a winding road towards the future
Research projects in this field
The HYSCORE project targets the development of long-distance networks based on the laws of quantum physics. The idea it to exploit a particular effect, known as quantum entanglement, to allow information exchange through particles far away from each other. These technologies are key steps towards the creation of the quantum internet, which is expected to open-up completely new communication frontiers.
The QuProCS project focuses on the development of new techniques to simulate the behaviour of quantum systems. Such simulation techniques, also based on the laws of quantum physics, aim at probing the studied systems in a less invasive way than current approaches. In fact, present-day strategies distort the properties of the investigated systems, hence affecting the results of the measurements.The ultimate goal is to help disclose the quantum properties of Nature and contribute to the development of quantum technologies.
The goal of the subCULTron project is the development of three types of robots, to be distributed in the Venice lagoon. Besides monitoring the water, the robots will learn how to cooperate with each other and how to react to the environment. This is expected to lead to significant improvements in the field of artificial intelligence.
The GHOST project targets an enhancement of current display interfaces. This is based on the development of malleable displays which humans could shape when performing input-output operations. Contrarily to present-day, bidimensional displays, such tools would stimulate human thinking and imagination by providing it with access to the the third dimension.
The goal of the ExCAPE project is to significantly accelerate the development of new drugs. The idea is to combine machine learning and supercomputers to rapidly design new molecules and increase the efficiency of drug testing.
The MUSE project targets the creation of 3D virtual words from written texts. This is based on the development of an algorithm which takes natural language as input, associates the content to 3D visual data stored in a dedicated data base, and generates the described virtual scenario. The outcome of the MUSE project may have applications in a variety of fields, from facilitating the explanation of instructions to the improvement of medical treatments.
The SceneNet project aims to combine audio-visual recordings of public events. Such recordings are made by multiple individuals with their own electronic devices and from arbitrary points of view. By aggregating the disparate files it will be possible to generate multi-view videos of the considered event. This technology may be applied to a number of fields, ranging from medicine to police investigations.
The SmartSociety project focused on the interaction between humans and machines. Operatively, the project investigated new kinds of so-called Collective Adaptive Systems. The ultimate goal was to contribute to the development of hybdrid systems where people and machines work together by implementing each other.
The DEDALE project targets the development of new tools for the era of Big Data. Such tools are analysis methods based on a machine learning approach and designed for multivariate, manifold-based signals. The ultimate goal is to enable better preservation of the intrinsic properties of the real data.