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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2018–2022

BIGMATH · Big Data Challenges for Mathematics

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2018-10-01 → 2022-09-30
Финансиране от ЕС
1 747 505 €
Участници
11
Схема
MSCA-ITN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Математическите методи за оптимизация, статистика и линейна алгебра помагат за по-ефективен анализ на големи масиви от данни. Тези инструменти подобряват работата на машинногото обучение и създаването на продукти, базирани на данни, с полза за обществото и икономиката.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Big Data Challenges for Mathematics

The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra, which are the most relevant topics for effective machine learning techniques and ability to build good data-driven products. The problems BIGMATH considered require the development of both innovative mathematical techniques and computational procedures joined with the ability of scientists to consider “the right mathematics for the right problem”, a profile only possible with the right mix of academic profoundness and industrial hands-on experience. BIGMATH reached its aim of training a group of mathematicians with strong theoretical and practical skills, with the mind-set of curious data wizards. BIGMATH graduates coped, in their research projects, with the major challenges of the Big Data era, and, thanks to the specific received training, will be able to effectively transfer their knowledge to the productive world, both for economic and social benefit. The research objectives of the project were focussed on the mathematical expertise underlying the different and often intertwined mathematical techniques needed for Big Data analysis. The close collaboration between both academic and industrial partners of the project was the key ingredient to reach the objectives and to contribute to the scientific advance in this field.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

BIGMATH is aimed to train a group of young, creative mathematicians with strong theoretical and practical skills, needed to tackle the major challenges of the Big Data era. They will also be trained in a wide set of “soft skills” that enable them to transfer effectively their knowledge to the productive world, thus fostering the European market to create innovation.These abilities will result from a close partnership between academy, providing the students with up-to-date training and knowledge on cutting-edge research on targeted mathematical disciplines, and a group of industries, who will complete the competences of the ESRs by exposing them to a set of Big Data-related real industrial problems.The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra for Big Data, which are the most relevant mathematical topics for effective machine learning techniques and ability to build good data-driven products.The effectiveness of the training program that we propose strongly relies on the involvement and close collaboration of universities with the non-academic sector, since Big Data challenges cannot be tackled only through theoretical studies and must be identified mostly by companies, which work daily on problems that involve big, complex or “messy” data. Specifically, BIGMATH focuses on 7 industrial Big Data problems spread across three domains: human facial data analysis, financial applications, and production systems.Project Activities and ESRs training on communication, exploitation of scientific results, dissemination and public engagement, play also a central role in this project, since they are designed to promote dissemination of excellent research and diffusion of innovation in Europe. The creation of such international and life-long network of young researchers, trained across sectors in an innovative way, will thus help Europe to strengthen its international R&I cooperation.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз