CORDIS Project
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IN-DEEP focuses on training doctoral candidates in applying explainable deep learning algorithms to solve complex inverse problems in various fields, including medicine and engineering. The project aims to enhance the reliability of these technologies.
IN-DEEP is a European Doctoral Network composed of nine doctoral candidates (DCs) and top scientists with complementary areas of expertise in applied mathematics, artificial intelligence, high-performance computing, and engineering applications.
Its main goal is to provide high-level training to the nine DCs in designing, implementing, and using explainable knowledge-driven Deep Learning (DL) algorithms for rapidly and accurately solving inverse problems governed by partial differential equation…
UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Pavia
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Spain, DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
Type: Research institute
Activity type: Research Organisations
SME: No
Belgium, Leuven
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Italy, Torino
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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