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Antmicro’s experience with AI vision solutions spans across FPGA, embedded GPU and dedicated ASIC accelerators, around which we had built many open source hardware projects. Besides our hugely successful open NVIDIA Jetson...
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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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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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As part of our open source-centric strategy, Antmicro has been developing open source hardware which serves as a base for rapidly developing new, complex solutions - and our customers often reach out to us to lend them our...
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AI algorithms often require significant processing power typically associated with data centers. However, privacy concerns, latency and security considerations, together with increased compute capabilities of edge devices,...
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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...
