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Kenning helps develop real-world Machine Learning solutions for ARM and RISC-V platforms such as NVIDIA Jetson AGX Orin, Google Coral or HiFive Unmatched by seamlessly interconnecting different underlying optimization and deployment...
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AI processing of complex data such as images, text, and sound can be used in a factory environment to vastly simplify tasks like classification, counting, tracking, quality assurance, or anomaly detection. Making large-scale...
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Based on internal R&D efforts, research projects like VEDLIoT and practical applications in a variety of customer cases, Antmicro is constantly working on improving Kenning, its open source framework for creating deployment...
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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...
