Very Efficient Deep Learning in IOT (VEDLIoT)
Forskningsprojekt, 2020
– 2023
Teaching the IoT to learn.
VEDLIoT offers a platform, the Cognitive IoT platform, leveraging European technology, which can be easily configured to be placed at any level of the compute continuum starting from the sensor nodes and then edge to cloud. Driven by use cases in the key sectors of automotive, industrial, and smart homes, the platform is supported by cross-cutting aspects satisfying security and robustness. Overall, VEDLIoT offers a framework for the Next Generation Internet based on IoT devices required for collaboratively solving complex DL applications across a distributed system.
Deltagare
Pedro Petersen Moura Trancoso (kontakt)
Chalmers, Data- och informationsteknik, Datorteknik
Hans-Martin Heyn
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Eric Knauss
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Miquel Pericas
Chalmers, Data- och informationsteknik, Datorteknik
Samarbetspartners
ANTMICRO AB
Poznan, Poland
Christmann Informationstechnik + Medien
Ilsede, Germany
EmbeDL AB
Göteborg, Sweden
FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências
Lisbon, Portugal
Göteborgs universitet
Gothenburg, Sweden
RISE Research Institutes of Sweden
Göteborg, Sweden
Siemens
Munich, Germany
Universität Bielefeld
Bielefeld, Germany
Universität Osnabrück
Osnabruck, Germany
Université de Neuchâtel
Neuchâtel, Switzerland
Veoneer
Stockholm, Sweden
Finansiering
Europeiska kommissionen (EU)
Projekt-id: EC/H2020/957197
Finansierar Chalmers deltagande under 2020–2023