Inria Academy: A Unique Opportunity for Training in Digital Technologies

Inria Academy is a specialized continuing education program in digital technologies offered by Inria. It has been launched in Chile as a result of the dedicated efforts of Inria Chile to nurture talent in the field of science and digital technologies.

This year, Inria Chile is introducing a series of online master classes in collaboration with Inria Academy. These classes will start on September 29th and continue until early December, featuring 11 one-hour Master Classes on advanced technology topics. These classes will utilize and promote open-source software developed by Inria and its international collaborators.

The primary mission of this program encompasses two key aspects: firstly, to train advanced professionals in deeptech, leveraging the wide array of open-source software developed by Inria as a starting point. Secondly, to impart knowledge to business leaders, enabling them to understand the challenges and risks associated with modern digital technologies.

This free training offering is primarily aimed at companies of all types, including large corporations, small and medium-sized enterprises (SMEs), and startups, both from Chile and the rest of Latin America.

Principles, challenges, risks, and opportunities related to artificial intelligence, machine learning, semantic web, metaverse, virtual reality, optimization, multiphysics simulation, environmental impact of digital technologies, pricing, and modeling are among the topics that will be covered during these master classes. Each of these sessions provides a unique and valuable perspective within its respective domain

• September 29, 2023, at 10:00 AM: Scikit-learn: the open toolbox for machine learning, by Arturo Amor, Research Engineer, SODA Project Team, Inria. Link

• October 10, 2023, at 11:00 AM: CORESE, Linked Data Browser, by Fabien Gandon, Research Director and leader of the Wimmics joint team, Inria. Link

• October 13, 2023, at 10:00 AM: Metaverse, virtual and augmented reality: principles, challenges, and issues, by Anatole Lécuyer, Research Director and leader of the Hybrid project team, Inria. Link

• October 18, 2023, at 10:00 AM: A brief history of artificial intelligence: introduction to some principles and associated risks, by Frédéric Alexandre, Research Director and leader of the MNEMOSYNE project team, Inria. Link

• October 20, 2023, at 2:00 PM: Coq, formal proof management system, by Yves Bertot, Research Director, Inria. Link

• October 25, 2023, at 10:00 AM: Optimizing supply chains in an uncertain world: principles, challenges, and risks, by Ayse N. Aslan, Researcher in the EDGE project team, Inria. Link

• November 2, 2023, at 10:00 AM: SOFA, multi-physics simulation engine, by Paul Baksic, Research Engineer at Inria. Link

• November 15, 2023, at 11:00 AM: Digital and the environment: principles, challenges, and risks, by Benjamin Ninassi, Research Engineer, Deputy Director of the "Environment and Digital" program at Inria. Link

• November 21, 2023, at 10:00 AM: Bias and fairness in AI: how to build trust?, by Benoît Rottembourg, Head of the Regalia pilot project at Inria. Link

• November 22, 2023, at 10:00 AM: Dynamic pricing: principles, challenges, and issues, by Benoît Rottembourg, Head of the Regalia pilot project at Inria. Link

• November 29, 2023, at 11:00 AM: Modeling and bias: principles, challenges, and risks, by Frédéric Alexandre, Research Director and leader of the MNEMOSYNE project team, Inria. Link

All Master Classes will be held online and will be free of charge. The researchers will conduct the Master Classes in their native language, with simultaneous translation into Spanish when needed. To find out all the details about each class and to register, click here.