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 flows and runtimes for Deep Neural Network applications on embedded hardware platforms. The AI toolkit is now gaining additional flexibility through highly customizable, modular blocks for developing real-time runtimes and automated search for best parameters for the optim...| antmicro.com
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 capabilities of embedded SoCs - efficiency in designing, prototyping and testing such solutions has become more important than ever. Leading the charge, Antmicro has been developing Kenning, an open source tool that seamlessly interconnects different DNN optimization and...| antmicro.com
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 frameworks and creating rich reports on model quality and performance, like in the recently described industrial use case. The latest developments extend Kenning’s applicability to two new domains, adding bare-metal runtimes for non-Linux targets and integration...| antmicro.com