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...
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...
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...
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...
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...
Our hugely successful open hardware Jetson Baseboard has been the basis for a number of systems that we’ve built for industrial customers looking to optimize their operations with artificial intelligence. Originally designed
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