Conférences - Calcul scientifique - États-Unis

American University

American University will hold the 2021 Institute for Data Science and Big Data online, which is geared to working professionals looking to upgrade their data science skills. The institute will cover the basics of data science, including obtaining relevant data, cleaning and exploring data, creating models, stating inferences, making reliable predictions, and communicating findings. The course consists of a mixture of lectures, guest speakers, and group assignments. It will take place over 10 working days, January 4-8 and 11-15, 9 AM to 5 PM EST.

Email.: dsi@american.edu

Big data, data science, training, professional development, exploratory methods, graphics, regression, machine learning, clustering analysis, Bayesian, Python, JavaScript, HTML, CSS, Mining, SQL, Tableau, GitHub

Society for Industrial and Applied Mathematics (SIAM)

Sponsored by the SIAM Activity Group on Computational Science and Engineering.

ICERM - The Institute for Computational and Experimental Research in Mathematics

Deep learning is profoundly reshaping the research directions of entire scientific communities across mathematics, computer science, and statistics, as well as the physical, biological and medical sciences . Yet, despite their indisputable success, deep neural networks are known to be universally unstable. That is, small changes in the input that are almost undetectable produce significant changes in the output. This happens in applications such as image recognition and classification, speech and audio recognition, automatic diagnosis in medicine, image reconstruction and medical imaging as well as inverse problems in general. This phenomenon is now very well documented and yields non-human-like behaviour of neural networks in the cases where they replace humans, and unexpected and unreliable behaviour where they replace standard algorithms in the sciences.

Tél.: [4018635030];     Email.: programstaff@icerm.brown.edu

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Mathématiques appliquées (en général),    Spectroscopie de masse, chromatographie et résonance magnétique nucléaire

Institute for Pure and Applied Mathematics (IPAM), UCLA

The aim of this program is to connect efforts of the mathematical and physical sciences communities to address the latest advances and new challenges on the understanding of multi-messenger astronomy. The IPAM program will comprise four workshops, each addressing a different topic: the generation of catalogs of waveform templates; the discussion of the mathematical modeling of the equations governing strong relativistic systems; parameter estimation of astrophysical sources of gravitational waves; and the state of the art of big data and deep learning techniques for GW data analysis.

Astronomie, astrophysique et cosmologie,    Physique des hautes énergies, des particules et des champs

Physique numérique,    Mathématiques appliquées (en général)