Konferenzen zum Thema Wissenschaftliches Rechnen in den Vereinigten Staaten (USA)

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Institute for Data Science and Big Data
02. Jan 2021 - 10. Jan 2021 • Washington, DC, Vereinigte Staaten
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 9 working days, 9 AM to 5 PM. The cost is $1,500.00. To apply, please fill out the application on the event page.
Email: dsi@american.edu
big data, data science, machine learning, statistics, regression, clustering, graphics, Python, javascript, HTML, GitHub, programming
CSE21 — SIAM Conference on Computational Science and Engineering
01. Mär 2021 - 05. Mär 2021 • Fort Worth, Texas, Vereinigte Staaten
Society for Industrial and Applied Mathematics (SIAM)
Sponsored by the SIAM Activity Group on Computational Science and Engineering.
Verwandte Fachgebiete:
Safety and Security of Deep Learning
10. Apr 2021 - 11. Apr 2021 • Providence, RI, Vereinigte Staaten
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.
Tel.: [4018635030];     Email: programstaff@icerm.brown.edu
Gordon Research Seminar — Computational Aspects of Biomolecular NMR
19. Jun 2021 - 20. Jun 2021 • Mount Snow, West Dover, VT, Vereinigte Staaten
Gordon Research Conference — Computational Aspects of Biomolecular NMR
20. Jun 2021 - 25. Jun 2021 • Mount Snow, West Dover, VT, Vereinigte Staaten
Long Program — Mathematical and Computational Challenges in the Era of Gravitational Wave Astronomy
13. Sep 2021 - 17. Dez 2021 • Los Angeles, CA, Vereinigte Staaten
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.
Gordon Research Conference — Computational Materials Science and Engineering
31. Jul 2022 - 05. Aug 2022 • Newry, Vereinigte Staaten

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Stand vom 16. Oktober 2020