Big Data and Artificial Intelligence / PERSYVAL-Minalogic Breakfast Meetings

While artificial intelligence solutions are not new, they have experienced significant growth in recent years, driven by the rise of big data—which has led to the availability of massive amounts of diverse data of all kinds—as well as increasingly powerful machine learning algorithms capable of analyzing that data, thanks to advances in computing and mathematics.

The purpose of this session is to provide insights that will help participants better understand the various aspects of Big Data and the main approaches to Artificial Intelligence, and to enable them to better align these concepts with specific application needs based on the volume and type of data produced or available. 

Program and presentations

• 8:15–8:30 a.m.: Welcome
• 8:30–9:00 a.m.: Introductory presentation
  : Overview of the Main Approaches to Artificial Intelligence Related to Big Data
  Marie-Christine Rousset, Université Grenoble Alpes Institut Universitaire de France, Laboratoire d’Informatique de Grenoble
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• 9:00–10:00 a.m.: Specialized presentations
  • Some Applications in Deep Learning
    Laurent Besacier, Université Grenoble Alpes, Laboratoire d’Informatique de Grenoble
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    In recent years, methods based on deep learning have proven to be highly effective for certain challenging artificial intelligence tasks: machine translation, speech transcription, image classification, and image captioning. This presentation will cover the key principles of this rapidly growing field, as well as a few “success stories” in the application areas mentioned below.
  • Statistical Learning: Principles and a Focus on Biomedical Applications
    , Adeline Leclercq Samson, Université Grenoble Alpes, Jean Kuntzmann Laboratory
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    Statistical learning is a rapidly growing field that is proving to be a powerful decision-making tool in many areas. This presentation will cover the main principles and provide some examples of applications in the biomedical field.
• 10:00–10:30: Discussion session
  Presentation by Laurence Pierre: The Foundations of Business-University Collaboration
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