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EDGE AI, OPEN SOURCE TOOLS

REPRODUCIBLE CROSS-PLATFORM EDGE AI SYSTEMS WITH YOCTO

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Image illustrating reproducible systems Antmicro has been working with a large number of customers implementing AI software on embedded systems, helping utilize all the advantages of an open source-based approach. To achieve this we created a complete methodology...
EDGE AI, OPEN MACHINE VISION

INTRODUCING MODULAR RUNTIME FLOWS TO KENNING

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Diagram depicting Kenning deployment flow Kenning is Antmicro’s library aiming to simplify the workflow with machine learning applications on edge devices. It is used for testing and deploying ML pipelines on a variety of embedded platforms regardless of the underlying...
EDGE AI, OPEN MACHINE VISION

DEPLOYING DEEP LEARNING MODELS ON THE EDGE WITH KENNING

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Edge AI development flow The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud...
EDGE AI, OPEN MACHINE VISION

ROS-BASED TESTER FOR TRACKING AND DETECTION ALGORITHMS

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ROS tester report For more than a decade Antmicro has been helping customers from a range of industrial sectors adopt real time AI applications that automate complex tasks and significantly improve work in terms of efficiency, time and cost...
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