With the current explosion of IoT devices connected to the Internet, the biggest challenge in the near future is how to process and analyze all this generated data, making use of the highly distributed compute infrastructure at hand. A promising approach for data analysis is deep learning, using brain-inspired neural networks for feature extraction and detection. In our research lab, we have developed DIANNE, an OSGi-based framework for creating, deploying and training artificial neural networks in a modular way. Benefiting from OSGi modularity, we can easily distribute (parts of) the neural networks among cloud and edge devices.
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