Home Dissemination Communication Press Repository Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities

Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities

EPI Consortium members published “Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities” in the IEEE Signal Processing Magazine.

Here you can find a link to an open access version of the article:

https://zenodo.org/record/4564326

DOI: https://doi.org/10.1109/MSP.2020.2988436

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Publication Type: Journal Article
Year of Publication: 2021
Authors: Benoît Dupont de Dinechin - Emanuele Ruffaldi - Federico Rossi - Marco Cococcioni - Sergio Saponara
Publisher: IEEE
Name of publication/Event: IEEE Signal Processing Magazine
ISSN Number: ISSN: 1053-5888
Keywords:
URL:

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This project has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 and Specific Grant Agreement No 101036168 (EPI SGA2). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland.

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