"The ELISE project proposal builds upon the ELLIS organisation which is excellence-driven and open, as that is what Europe needs; we play for the 'team Europe'", stated Samuel Kaski, director of the Finnish Center for Artificial Intelligence FCAI and professor at Aalto University, who is also the principal investigator of the proposal.
ELISE - European Learning and Intelligent Systems Excellence, and was initiated by ELLIS - European Laboratory for Learning and Intelligent Systems. ELLIS was created in 2018 to develop a network of AI excellence, with Europe's top researchers in ML and related fields that can compete with the major AI hotspots in the US and China.
"The strength of Europe is in its rich and diverse cultures and industries, from service to health to manufacturing. The ELLIS network of top-level AI institutes is the best way to inject excellent machine learning in European companies", stated Barbara Caputo, Professor at Politecnico di Torino and a member of the ELLIS Board. ELLIS is actively advancing important technological and medical applications with fellowship programs on Robotics, Computer Vision or Health.
"We believe that a diversity of approaches is the key, and we congratulate all of the other selected proposals. ELISE gives us the chance to implement the next steps towards the ELLIS vision, and we are happy to collaborate with others who help us achieve these goals", added Professor Bernhard Schölkopf, Director at the Max Planck Institute for Intelligent Systems in Tübingen, and member of the ELLIS Board.
The goal of ELISE to make Europe competitive by setting up a "Powerhouse of AI".
As part of its goals, ELLIS has set out to retain and attract the best talent. Machine learning has triggered the current revolution in AI, with an impact on all associated disciplines such as computer vision and sensory processing, data science, symbolic and rule-based reasoning, robotics, and human-computer interaction. The distinction between academic and industrial research is vanishing, with rapid and broad commercialization of results which has led to a need to strengthen European research excellence to remain competitive.
The ELISE network is set up to be attractive to students and experienced researchers, to sustain itself at the highest level research in academia, and to spread its knowledge and methods in research, industry and society. While ELISE starts from machine learning as a key enabling technology of AI, the network addresses all ways of reasoning, considering all types of data. These are applicable for almost all sectors of science, industry, and society while being aware of data safety and security, and striving to provide explainable and trustworthy outcomes.