Nuria Pazos

TL;DR: The proposed dynamic light control solution permits an energy saving of about 56% compared to classical static, time-based street light control, and speeds up the integration of sensors and actuators to Internet of Things platforms.

TL;DR: The Bonseyes EU H2020 collaborative project aims to develop a platform consisting of a Data Marketplace, a Deep Learning Toolbox, and Developer Reference Platforms for organizations wanting to adopt Artificial Intelligence that incorporate Smart Cyber-Physical Systems (CPS).

TL;DR: This paper addresses the parallelization of sequential multimedia applications written in C/C++ for their mapping and scheduling onto a flexible MpSoC platform and shows that using this approach an architecture-independent multi-threaded model of a MPEG–2 video decoder algorithm can be obtained with only few modifications to an existing sequential implementation of the algorithm.

TL;DR: This work presents a modular AI pipeline as an integrating framework to bring data, algorithms, and deployment tools together and demonstrates the deployment of several AI applications such as keyword spotting, image classification and object detection on a set of well-known embedded platforms.

TL;DR: In this paper, a closed-loop learning flow for autonomous driving mini-vehicles that includes the target deployment environment in-the-loop is proposed, where a family of compact and high-throughput tiny-CNNs are used to control the mini vehicle that learn by imitating a computer vision algorithm in the target environment.