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Learning and Analysing Massive / Big complex Data

Ziel

"LAMBDA aims at transferring game changing technologies to the European industry in critical areas of Machine learning. Based on recent algorithmic breakthroughs, we adapt sophisticated methods to targeted industries, with a twofold goal: First, to help turn cutting edge tools into innovative software products and processes, tailored to real-world issues. Second, based on the available data, to organise open data repositories / benchmarks, or to simulate data with the same statistical properties, when such data is confidential, following ""anonymisation"".

LAMBDA focuses on two distinct application domains: 3D shape analysis and unstructured data mining. They share challenging features such as inherent complexity in modeling the data, high dimensionality which raises the issue of curse of dimensionality, and the need to address such datasets at a massive scale. Moreover, they correspond to the expertise of the participants. LAMBDA is characterised by a unique blend of theoretically rigorous and geometrically inclined methods, thus supporting a strong aspect of interdisciplinarity between Theory of Algorithms and Machine Learning. This shall be supported by advanced software development, ranging from public-domain prototype implementations to licensed software and integrated libraries, where the latter may be based on the highly-optimised platform BIDMach (UC Berkeley).

LAMBDA strengthens existing links within Europe and across the Atlantic, while creating new synergies in the directions of two industrial domains, namely 3D shape search and insurance data. The two clusters are organised around representative companies in the respective domains. The Project is built so as to support knowledge transfer beyond its lifetime. Besides inter-sectoral collaborations, we exploit the international dimension by associating leading USA Universities, so as to bring state-of-the-art methods developed at the global level into the European framework."

Wissenschaftliches Gebiet

Schlüsselbegriffe

Programm/Programme

Thema/Themen

Aufforderung zur Vorschlagseinreichung

H2020-MSCA-RISE-2016

Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)

Koordinator

ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
Netto-EU-Beitrag
€ 180 000,00
Adresse
6 CHRISTOU LADA STR
10561 Athina
Griechenland

Auf der Karte ansehen
Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Aktivitätstyp
Higher or Secondary Education Establishments
Links
Gesamtkosten
€ 180 000,00

Beteiligte (2)

Partner (4)

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Letzte Aktualisierung: 13 Juni 2023

Mein Booklet

Permalink: https://cordis.europa.eu/project/id/734242/de

European Union, 2024