MANOLO – Cloud-Edge Efficient & Trustworthy AI
Horizon Europe
CeADAR University College Dublin
Universitat Politecnica de Catalunya
AtoS Solutions and Services Iberia SL
EVIDEN Technologies SRL
Technische Universität Braunschweig
National Centre Fro Scientific Research DEMOKRITOS
FOUR DOT INFINITY Information and Telecommunications Solutions PC
Fraunhofer IIS Gesellschaft zur Förderung der angewandten Forschung EV
Inria
Université Paris-Saclay
ARCADA Yrkeshögskolan Arcada AB
Centre for IT & Law at KU Leuven
Laurea University of Applied Sciences
PAL Robotics
Bitbrain
Sylvain Chevallier
MANOLO will deliver a complete stack of trustworthy algorithms and tools to help AI systems reach better efficiency and seamless optimization in their operations, resources and data required to train, deploy and run high-quality and lighter AI models in both centralised and cloud-edge distributed environments. MANOLO will additionally address mobile applications of AI, where privacy is a main concern that leads to low feature adoption. The project will employ computer vision models across the cloud-edge continuum for image classification and face detection, aiming to enhance trustworthiness and incorporate privacy by design.