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While the advent of Large Language Models has brought significant leaps in many areas including text analysis and computer vision, translating to benefits across a variety of industries, the size of the models can be a limitation...
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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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Today at the RISC-V Summit in Santa Clara, we’re pleased to participate in Google’s announcement of the open source release of project Open Se Cura. The announcement crowns a many-year collaboration towards developing a secure...
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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...
