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machine-learning

EDGE AI, OPEN SOURCE TOOLS

DEPLOYMENT PIPELINES AND ENHANCED MODULARITY IN KENNING

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Diagram depicting the optimization process 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...
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...
OPEN SOURCE TOOLS, EDGE AI

RISC-V VECTOR INSTRUCTIONS SUPPORT IN RENODE

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RISC-V V Extension 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...
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...
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