LEMUR is an MSCA (Marie Skłodowska-Curie Actions) Doctoral Network (DN) program, which offers innovative training and research to shape key Artificial Intelligent (AI) technologies of the present and the future with strong technological, scientific, economical, and societal impact.
The objective of Doctoral Networks is to implement doctoral programs by partnerships of organizations from different sectors across Europe and beyond to train highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term.
LEMUR refers to Machine Learning (ML) methods that leverage several representations of the data and models or several formalizations of the learning task simultaneously, orchestrate them in a coordinated fashion, and use them in a synergistic way to solve a single problem. Taking advantage of the complementarity, the redundancy, and specific characteristics of different representations, LEMUR seeks to improve performance in comparison to methods operating on a single representation only, by developing formal and algorithmic foundations, and to establish LEMUR as a new paradigm within the field of Machine Learning.
LEMUr brings together an excellent and highly synergistic team of world-leading ML universities from 6 European countries, who together with 10 associated partners (dynamic SMEs, large corporations, and public bodies) will train highly skilled doctoral candidates within the areas of Artificial Intelligence and Machine Learning. The project will provide 10 experts with highly interdisciplinary and intersectoral training to implement the third and subsequent waves of AI in Europe.
LeMuR has received funding from the Doctoral Network Skłodowska-Curie Actions Call of the European Commission.