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A tribute to the visionary researcher Valérie Issarny

On 12th November of last year Valérie Issarny, an Inria researcher and pioneer in the fields of software engineering, distributed systems and smart cities, died prematurely from cancer. Inria would like to pay tribute to a woman of conviction who fought to the end for freedom and teamwork in academic research.
United States France General Perifereia Ipeirou Paola Inverardi Nalini Venkatasubramanian Apostolos Zarras
Source: inria.fr

Embedded systems: looking ahead to the future with AI and sustainability

At the embedded world Exhibition&Conference from March 14 to 16, 2023, five Fraunhofer institutes will present their developments in the fields of edge AI, sustainable systems, and sensor and system design in Hall 4, Booth 422. Under the motto “intelligent.efficient.sustainable,” the Fraunhofer experts will showcase their latest technologies and projects at the international trade show for embedded solutions in Nuremberg.
Fraunhofer Institute For Microelectronic Circuits Fraunhofer Institute For Reliability Plasma Technology Fraunhofer Institute For Integrated Circuits Fraunhofer Institute For Organic Electronics Fraunhofer Institute

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German Society for Marine Aquaculture strengthens Fraunhofer IMTE

Aquaculture is a growing market around the world. From animal feed production and food manufacturing to pharmaceuticals and medicine, a wide range of industries are profiting from the insights provided by fundamental and applied research into aquaculture — considered a key research and development field for providing food security to a growing global population.
Schleswig Holstein Karin Prien Reimund Neugebauer Carsten Schulz Thorsten Buzug Fraunhofer Institute For Molecular Biology

"Adaptive Neural Output Feedback Control for MSVs with Predefined Perfo" by Guibing Zhu, Yong Ma et al.

Abstract In this paper, we investigate the problem of trajectory tracking control for marine surface vehicles (MSVs), which is subject to dynamic uncertainties, external disturbances and unmeasurable velocities. To recover the unmeasurable velocities, a novel adaptive neural network (NN) state observer is constructed. To guarantee the transient and steady-state tracking performance, a novel nonlinear transformation method is proposed by employing a tracking error transformation together with a ...
Adaptive Neural Network Adaptive Systems Rtificial Neural Networks Arine Surface Vehicle Output Feedback Redefined Performance
Source: uow.edu.au

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