eHealth and Well Being
Smart City & IoT
Cyber Security
Sustainability
Objectives
Highly innovative ICT projects
RI and SS in the natural and engineering sciences
Provision of technical assistance to client companies
Investment incentive advice
Accompaniment and vocational training
Customer care, competence and consistency
Machine Learning
Machine learning (also known as machine learning) is a branch of artificial intelligence that brings together a set of methods, developed since the last decades of the 20th century in various scientific communities, under different names such as: computational statistics, pattern recognition, artificial neural networks, adaptive filtering, theory of dynamic systems, image processing, data mining, adaptive algorithms, etc.; which uses statistical methods to progressively improve the performance of an algorithm in identifying patterns in data. In computer science, machine learning is a variant of traditional programming in which a machine is given the ability to learn something from data autonomously, without receiving explicit instructions to do so.
Artificial Intelligence
Artificial intelligence (or AI, from the initials of the two words) is a discipline belonging to computer science that studies the theoretical foundations, methodologies and techniques that enable the design of hardware systems and software programme systems capable of providing computers with performances that, to a common observer, would seem to be the exclusive domain of human intelligence.
Computer Vision
Machine vision (also known as computer vision) is the set of processes that aim to create an approximate model of the real world (3D) from two-dimensional (2D) images. The main purpose of computer vision is to reproduce human vision. Seeing is understood not only as the acquisition of a two-dimensional photograph of an area but above all as the interpretation of the content of that area. Information is understood in this case as something that implies an automatic decision