Individual Differences in Lifespan Cognitive Development

This is an exciting time for scientists who are interested in cognitive development: there is now a wealth of easily-accessible data that can be used to ask interesting questions about how psychological, neural, and genetic factors affect changes in cognitive functions across the lifespan - and how they differ between individuals. In this talk, I'll describe several studies that apply individual-differences methods to large-scale, sometimes longitudinal datasets that include cognitive and biological information.

Enregistrement des vocalisations des jeunes enfants : lorsque le big data bénéficie de la collaboration des citoyens

Les retards de langage précoces pouvant avoir des conséquences négatives sur l'alphabétisation, le comportement, les interactions sociales et les résultats scolaires des enfants jusqu'à l'âge adulte, les interventions précoces ont été décrites comme un meilleur investissement sociétal que les interventions tardives. Mais comment pouvons-nous déterminer rapidement et précisément quels enfants sont à risque ? 

ENS-PSL / Babilou : un partenariat au cœur de l’acquisition du langage

En alliant leurs expertises, le BabyLab de l'Ecole normale supérieure et Babilou souhaitent faire progresser la recherche sur l’acquisition du langage chez les tous petits.

Ce nouveau partenariat de recherche porte sur les travaux conduits par Cécile Crimon, doctorante au Laboratoire de Sciences Cognitives et Psycholinguistique. La scientifique questionnera spécifiquement le rôle et l’impact de l’environnement social et linguistique dans le développement du langage chez l’enfant.

Individual and social processes in image description generation

Abstract: Most language use takes place in situated environments where visual perception goes hand in hand with language processing. I will discuss some recent projects by my research group related to modelling language generation in visually grounded contexts using state-of-the-art AI techniques. I will first focus on individual cognitive processes and present a model of image description generation that exploits information from human gaze patterns recorded during language production. In the second part of the talk, I will move on to two-person dialogue setups.

Categories and Instances in Human Cognition and AI

Turning regularities into categories is an important aspect of human cognition. We can make generalizations about new events and entities based on the categories we think they belong to. Structuring knowledge into categories also facilitate search and retrieval. Moreover, remembering specific instances of categories (e.g., the first day at a job) is crucial for how we process information. Similarly, artificial intelligence systems require the capacity to represent and reason about both categories and instances.