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Many of Antmicro’s commercial projects are based on the company’s open hardware boards for the NVIDIA Jetson ecosystem, with the NVIDIA Jetson Nano/Xavier NX baseboard leading the way as the most notable example. The most recent...
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Antmicro’s Kenning framework, introduced during our work on the VEDLIoT edge AI research project, is being used in various local AI processing projects to create deployment flows and runtimes for Deep Neural Network applications...
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When building edge AI solutions for its customers, Antmicro usually creates dedicated operating system images, tailored for a customer’s particular product to ensure better security and control. Since such systems are often...
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The field-deployed device systems Antmicro helps its customers build increasingly often use neural networks for tasks such as understanding voice commands, detecting, tracking and telling apart objects in video, or recognizing...
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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...
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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...
