Analog/Mixed Signal Back End Design Automation based on Machine Learning and Artificial Intelligence Techniques

Project Information

AMBEATion

Grant agreement ID: 101007730

DOI

10.3030/101007730

Project closed

EC signature date 9 November 2020

Start date 1 September 2021

End date 31 August 2025

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 257 600,00

EU contribution

€ 257 600,00

Coordinated by

POLITECNICO DI TORINO
Italy

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Publications

Conference proceedings (2)

Extended Abstract: Automatic Generation of Analog Layout from Netlist

Author(s): Martin Stastny, Francesco Daghero
Published in: Proceedings of the International Student Scientific Conference Poster, Issue 27, 2023, Page(s) 55-56, ISBN 978-80-01-07140-3
Publisher: Ceske vysoke uceni technicke v Praze, Fakulta elektrotechnicka

AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques

Author(s): Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janíček, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Štastný, Patrik Vacula, Giorgia Vitanza, Chen Xie
Published in: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Issue 81, 2024, Page(s) 1-6
Publisher: IEEE
DOI: 10.23919/date58400.2024.10546515