AI and Neuroscience: in search of the laws of intelligence

Abstract: In just a few years, AI has transitioned from a specialized field into a transformative force for industries and society. Beyond this technical progress, the development of AI provides a new paradigm to understand the intricate workings of the human brain. To illustrate this, we will delve into a series of experiments that systematically compare deep learning algorithms with the human brain in response to images, sounds, and texts. These comparisons consistently show a partial convergence between the representations learned by AI algorithms and those effectively instantiated in our cortex. These results -- largely unexpected by both the AI and Neuroscience communities -- together provide an operational foundation for uncovering the general principles that govern the acquisition, structuring, and manipulation of knowledge in biological and artificial neural networks.

Data Science Colloquium of the ENS:

This colloquium is organized around data sciences in a broad sense with the goal of bringing together researchers with diverse backgrounds (including for instance mathematics, computer science, physics, chemistry and neuroscience) but a common interest in dealing with large scale or high dimensional data.

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