Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0

no code implementations • 23 Feb 2024 • Fatemeh Baghdadi, Davide Cirillo, Daniele Lezzi, Francesc Lordan, Fernando Vazquez, Eugenio Lomurno, Alberto Archetti, Danilo Ardagna, Matteo Matteucci

The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum.

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification

no code implementations • 13 Dec 2022 • Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci

The automated machine learning (AutoML) field has become increasingly relevant in recent years.

Neural Architecture Search Time Series +2

POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique

no code implementations • 6 Oct 2022 • Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci

With its sequential model-based optimization strategy, Progressive Neural Architecture Search (PNAS) represents a possible step forward to face this resources issue.

Neural Architecture Search

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS

no code implementations • 11 May 2021 • Federica Filippini, Danilo Ardagna, Marco Lattuada, Edoardo Amaldi, Michele Ciavotta, Maciek Riedl, Katarzyna Materka, Paweł Skrzypek, Fabrizio Magugliani, Marco Cicala

Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions.

Management Scheduling