Descripción del proyecto
El aprendizaje profundo en el Internet de las Cosas
El Internet de las Cosas (IdC) sigue cobrando forma y se espera que favorezca la generalización del intercambio de datos y la automatización. Sin embargo, aún no se ha resuelto el problema de cómo tomar medidas con los datos generados. El volumen de datos obtenidos es enorme, la capacidad computacional necesaria para procesarlos es muy alta y los algoritmos son complejos. El proyecto VEDLIoT, financiado con fondos europeos, está desarrollando una plataforma de IdC que utiliza algoritmos de aprendizaje profundo distribuidos en todo el ecosistema del IdC. La nueva plataforma cuenta con una arquitectura de IdC innovadora, y se espera que presente grandes ventajas para un gran número de aplicaciones, como la robótica industrial, los vehículos autónomos y las casas inteligentes. La iniciativa ofrece una convocatoria abierta a mitad del proyecto, a fin de incorporar más casos de uso industriales relacionados con VEDLIoT y aumentar la preparación de sus soluciones para el mercado.
Objetivo
The ever increasing performance of computer systems in general and IoT systems, in particular, delivers the capability to solve increasingly challenging problems, pushing automation to improve the quality of our life. This triggers the need for a next-generation IoT architecture, satisfying the demand for key sectors like transportation (e.g. self-driving cars), industry (e.g. robotization or predictive maintenance), and our homes (e.g. assisted living). Such applications require building systems of enormous complexity, so that traditional approaches start to fail. The amount of data collected and processed is huge, the computational power required is very high, and the algorithms are too complex allowing for the computation of solutions within the tight time constraints. In addition, security, privacy, or robustness for such systems becomes a critical challenge.
An enabler that aims at delivering the required keystone is VEDLIoT, a Very Efficient Deep Learning IoT platform. Instead of traditional algorithms, artificial intelligence (AI) and deep learning (DL) are used to handle the large complexity. Due to the distributed approach, VEDLIoT allows dividing the application into smaller and more efficient components and work together in large collaborative systems in the Internet of Things (IoT), enabling AI-based algorithms that are distributed over IoT devices from edge to cloud.
In terms of hardware, 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.
Ámbito científico
- natural sciencescomputer and information sciencesinternetinternet of things
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2020-1
Régimen de financiación
RIA - Research and Innovation actionCoordinador
33615 Bielefeld
Alemania