EFELIA Côte d'Azur organizes several summer schools with the aim of sharing its expertise with different audiences, enabling them to acquire new knowledge and skills in the field of artificial intelligence.

 

Deep Learning School

Deep Learning School : a summer internship organized every year by Université Côte d'Azur since 2017.


Whether you are a researcher, engineer, deep learning expert, or simply keen to learn more about these crucial methods at the heart of modern AI, come and learn from world-renowned experts in the exceptional setting of the Côte d'Azur.


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Ecole d'été DL4T

Legal experts take a closer look at artificial intelligence and the challenges it raises.

The Summer School is open to undergraduate and M1 students at the Faculty of Law and Political Science in Nice. The aim of the Deep Law for Tech (DL4T) project is to contribute to the knowledge, promotion and construction of legal standards governing the creation of technical standards. It is part of the Deep Tech movement. It provides a scientific and standard-setting response to the need for innovative legal frameworks required by emerging technological frameworks.
 

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KID Summer School: Knowledge Dynamics, Industry Evolution, Economic Development

Theoretical and empirical lectures on knowledge dynamics, industry evolution, and economic development.

Following its 10-year tradition, the school aims at attracting students interested in studying a broad range of subjects such as the emergence and persistence of innovation, entrepreneurship, firms’ growth, corporate governance and performance, geographical agglomeration and dispersion of industrial activities, skills dynamics, the economics of science, smart cities, and environmental innovation. The school welcomes Ph.D. students, postdocs, and young researchers. Participants to the summer school will benefit from lectures by highly reputed international scholars. Lectures will cover theoretical and empirical subjects with particular emphasis on up-to-date statistical and econometric techniques.


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