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...
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...
At Antmicro, we take a CLI-first approach to developing tools, providing clean and testable APIs as well as using them in continuous integration and other headless scenarios, which are frequently found in the industrial projects...
A user-friendly, well-structured Command Line Interface (CLI) is especially critical in software development tools used for scripting, automation and CI. With our open source Renode simulation framework, Antmicro helps product...
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...
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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