Embedded Systems

Paul Palomero Bernardo

Photo of Palomero Bernardo, Paul

Paul Palomero Bernardo
University of Tübingen
Dpt. of Computer Science
Embedded Systems
Sand 13
72076 Tübingen
Germany

Telephone
+49 - (0) 70 71 - 29 - 75458
Telefax
+49 - (0) 70 71 - 29 - 50 62
E-Mail
Mail
Office
Sand 13, B205
Office hours
by appointment

Publications

Research projects

Teaching

Efficient Machine Learning in Hardware Summer 2021 Summer 2022
Moderne Architekturen Eingebetteter Systeme Winter 2020
Proseminar: Moderne Architekturen Eingebetteter Systeme Winter 2021 Winter 2022

News

Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices

The paper “Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices” has been accepted at the 25th Euromicro Conference on Digital System Design (DSD), pages 1-8, 2022. Keywords: Machine Learning, Neural Networks, AutoML, Neural Architecture Search

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Scale4Edge - Skalierbare Infrastruktur für Edge-Computing

Neues BMBF-Projekt in der Informatik der Universität Tübingen zur Entwicklung und Bereitstellung eines Ökosystems für eine skalierbare und flexibel erweiterbare Edge-Computing-Plattform basierend auf der freien RISC-V-Instruktionssatzarchitektur.

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