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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...
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OpenTitan is a community-driven open source Root of Trust project that provides secure, tested, and transparent building blocks and infrastructure for designing and implementing trusted computing systems. On the basic level...
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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...
