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The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications...

...Our proposed system uses OpenDSS power system simulator and OMNeT++ communication system simulator which are available under an open source licence. We have resolved a synchronisation problem between already existing communication and power networks simulators. This is done through a software interface between the communication and power networks simulators. We have tested our co-simulation framework with a renewable energy integration application. * This work was partly supported by an Open Collaborative Research (OCR) project from IBM. ...