Welcome to the 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.
The seminar takes place, unless exceptionally noted, on the first Tuesday of each month at 12h00 at the Physics Department of ENS, 24 rue Lhomond, in room CONF IV (2nd floor).
The colloquium is followed by an open buffet around which participants can meet and discuss collaborations.
These seminars are made possible by the support of the CFM-ENS Chair “Modèles et Sciences des Données”.
You can check the list of the next seminars below and the list of past seminars.
Videos of some of the past seminars are available online.
The colloquium is organized by:
March 25th, 2019, 12h00-13h00, room Salle Jean Jaurès, 29 rue d’Ulm (sous-sol).
Béatrice Prunel and Gregory Chatonsky (ENS)
Title: Art and artificial imagination
Abstract: Contemporary media are fascinated by the applications of neural networks in creation. They regularly highlight moments when artificial artistic productions have "deceived" humans and "replaced" artists. All this seems to confirm that AI would have conquered up to the last ramparts of humanity: interiority and creativity. The dialogue between an art historian, invested in the digital humanities, and an artist who is himself familiar with deep learning, invites us to change our perspective. A historical and materialistic approach makes it possible to better distinguish what is new in the apparent emergence of AI in the arts and to better grasp the implicit conception of art that develops there: the change of purpose of a new technique, which generates surprising results, is also a way of thwarting the assumptions of the contemporary economic system. It suggest criticism of it as much as it opens up new possibilities.
May 9th, 2019, 12h00-13h00, room Salle Jean Jaurès, 29 rue d’Ulm (sous-sol).
Matthieu Husson (Observatoire de Paris)
Title: Artificial Intelligence and data sets from the history of astronomy: new opportunities?
Abstract: The recent development of Digital Humanities and the exigences of publishing research data besides research results transform the availability of historical sources, along with the means to analyse, edit, and relate them. In this context, DISHAS relies on a network of international projects in Chinese, Sanskrit, Arabic, Latin and Hebrew sources in the history of astral sciences and aims at providing tools to edit and analyse the different types of sources usually treated in the field, namely, prose and versified texts, iconography and technical/geometrical diagrams, and astronomical tables. This leads to the progressive constitution of precisely described datasets that are a promissing field of experimentation for data sciences in general and artificial intelligence in particular. In this presentation we want to introduce our datasets, their characteristics and historical meaning. We will discuss different lines of research that could converge toward data sciences topics, with a specific focus on the understanding of historical actors computations from the analysis of the numerical tables they produced.
June 11th, 2019, 12h00-13h00, room Salle Jean Jaurès, 29 rue d’Ulm (sous-sol).
Jean-Remi King (ENS)