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Machine learning typically operates on large amounts of data which often has to be moved back and forth between processing nodes and storage. This generates bottlenecks and costs in terms of both power and bandwidth. One trend...
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The field-deployed device systems Antmicro helps its customers build increasingly often use neural networks for tasks such as understanding voice commands, detecting, tracking and telling apart objects in video, or recognizing...
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Over the many years of development, Renode, our open source simulation framework, has been successfully used in various contexts, from the development on the smallest microcontrollers to complex, multi-core and multi-node environments...
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With the rise of ever more efficient and cost-optimized edge AI technologies, the possibilities for connecting the multitude of smart sensor devices into intelligent networks via gateways are now more abundant than ever. The...
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Originally created to meet Antmicro’s internal need for a flexible system design and testing tool, Renode has been in use by numerous projects and organizations including internet giants like Google, Microsoft and Amazon,...
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Renode is an open source simulation framework enabling effortless and collaborative software development of embedded and IoT devices in a deterministic environment. A wide toolbox of features for debug, trace and experimentation...
