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For complex ML systems involving many sensors (e.g. cameras, depth sensors, accelerometers), interconnected algorithms and a sophisticated control flow, system performance monitoring is a challenging problem. To architect these...
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Neural networks are a powerful tool for processing noisy and unstructured sensor data like camera frames, accelerometer or biometric readings, which makes them perfect for preprocessing or decision making on edge devices, where...
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With a rapid increase in interest in adding edge Machine Learning capabilities to consumer-facing as well as industrial devices - brought about by the rapid advances in deep learning and now also LLMs, the increasing compute...
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When working with abstract concepts such as building machine learning data flows in Kenning or designing an FPGA platform with FPGA Topwrap, the ability to represent the data in an easily understandable form can greatly improve...
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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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Many of Antmicro’s commercial projects are based on the company’s open hardware boards for the NVIDIA Jetson ecosystem, with the NVIDIA Jetson Nano/Xavier NX baseboard leading the way as the most notable example. The most recent...
