May 10, 2023, 1:10 a.m. | Kevin Mika, René Griessl, Nils Kucza, Florian Porrmann, Martin Kaiser, Lennart Tigges, Jens Hagemeyer, Pedro Trancoso, Muhammad Waqar Azhar, Fare

cs.CR updates on arXiv.org arxiv.org

The VEDLIoT project aims to develop energy-efficient Deep Learning
methodologies for distributed Artificial Intelligence of Things (AIoT)
applications. During our project, we propose a holistic approach that focuses
on optimizing algorithms while addressing safety and security challenges
inherent to AIoT systems. The foundation of this approach lies in a modular and
scalable cognitive IoT hardware platform, which leverages microserver
technology to enable users to configure the hardware to meet the requirements
of a diverse array of applications. Heterogeneous computing is …

algorithms applications artificial artificial intelligence artificial intelligence of things challenges deep learning distributed energy foundation intelligence lies project safety security security challenges systems things

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