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Kenning and Kenning Zephyr Runtime enable easy, iterative development of ML models deployed on Zephyr RTOS using various AI inference libraries. When testing models on a device with Kenning, switching between models is usually...
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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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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...
