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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...
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Building on top of the flexibility that was the original premise of Renode, our open source simulation framework has for some years now been used for pre-silicon development, architectural exploration and hardware-software...
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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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Development of Machine Learning algorithms which enable new and exciting applications is progressing at a breakneck pace, and - given the long turnaround time of hardware development - the designers of dedicated hardware accelerators...
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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...
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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
