Does AI have to be complex?

To celebrate the start of the 21st century, the renowned journal Nature unveiled its list of the ten most cited scientific articles in the world. Four of them directly concern artificial intelligence, with "Deep Residual Learning for Image Recognition," better known as ResNet, taking the top spot. What is surprising is that this seminal article is not, technically speaking, extremely complex. And yet, it has revolutionized AI research and paved the way for countless advances.

So, does AI have to be complex to be revolutionary? During this conference/debate, we will delve into the content of this article, look at the progress it has enabled, and then open up a debate with the audience on the major technical and/or philosophical questions it naturally raises.

The presentation and discussion will be led by two experts: Clément Carré (founding president of Bionomeex—a doctor specializing in statistical learning) and Jean Gabriel Ganascia.