Molecular dynamics simulations through GPU video games technologies

Bioinformatics is the scientific field that focuses on the application of computer technology to the management of biological information. Over the years, bioinformatics applications have been used to store, process and integrate biological and genetic information, using a wide range of methodologies. One of the most de novo techniques used to understand the physical movements of atoms and molecules is molecular dynamics (MD). MD is an in silico method to simulate the physical motions of atoms and molecules under certain conditions. This has become a state strategic technique and now plays a key role in many areas of exact sciences, such as chemistry, biology, physics and medicine. Due to their complexity, MD calculations could require enormous amounts of computer memory and time and therefore their execution has been a big problem. Despite the huge computational cost, molecular dynamics have been implemented using traditional computers with a central memory unit (CPU). A graphics processing unit (GPU) computing technology was first designed with the goal to improve video games, by rapidly creating and displaying images in a frame buffer such as screens. The hybrid GPU-CPU implementation, combined with parallel computing is a novel technology to perform a wide range of calculations. GPUs have been proposed and used to accelerate many scientific computations including MD simulations. Herein, we describe the new methodologies developed initially as video games and how they are now applied in MD simulations

Imposter Syndrome workshop

Imposter Syndrome. Presented at Workshop WEPASCO / FRESCO (Fédération française des étudiant·e·s et jeunes actif·ve·s en sciences de la cognition). 27 March 2021

Presentations

Some previous presentation

Diversity and learnability in early language acquisition : across languages and cultures

La langue est acquise par les enfants du monde entier, mais en fonction de l'input fourni, l'acquisition a probablement des différentes voies de développement, des rythmes différents et des résultats variables. Dans ce manuscrit, nous examinons de plus près l'étonnante diversité d'input que les enfants grandissent en entendant, et nous demandons en quoi cette diversité est importante pour l'acquisition du langage. Pour cela, nous utilisons des méthodes hautement interdisciplinaires. Nous considérons le type de langue et de culture comme deux sources principales de diversité, et nous les étudierons dans deux parties distinctes de cette thèse.Language is acquired by children all around the globe, but probably along different developmental paths, at varying rates and with varying outcomes, depending on the input provided. In this dissertation, we take a closer look at the astonishing diversity of input children grow up hearing, and we ask how this diversity matters to language acquisition. For this, we employ highly interdisciplinary methods and involve several projects. We consider the type of language and culture as two principal sources of diversity, and we will investigate them in two distinct parts of this dissertation

Artificial Intelligence and Cognition: NLP - Chatbots

Presentation & moderator notes for the round table "NLP/Chatbots" during the session "Artificial intelligence and Cognition: Industrial Challenges", part of the Olivier Legrain Conference: Learning in Humans and in Machines, Paris, July 5-6, 201