Customers interested in building new industrial or consumer devices, typically involving one or more PCBs and based on Linux, Zephyr or Android (or even all of them at the same time), often approach Antmicro before they know what exact components they want to use. Such projects typically begin with a block diagram, and interestingly, across the industry there is no unified and structured way to collaborate at this stage of the project, before an actual schematic of a system can be produced an...| 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