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ai

EDGE AI, OPEN SOURCE TOOLS

COMPARING OPTIMIZED MODELS USING RECENT DEVELOPMENTS IN KENNING

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Comparing models with Kenning illustration 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...
OPEN HARDWARE, EDGE AI

OPEN SOURCE AMD XILINX KRIA ULTRASCALE+ SOM BASEBOARD

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Picture of the Kria K26 SoM devboard 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...
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...
OPEN OS, OPEN SOURCE TOOLS

ANTMICRO AT ZEPHYR DEVELOPER SUMMIT 2022: RENODE, RISC-V AND MORE

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Antmicro at Zephyr Developer Summit This year’s Zephyr Developer Summit is approaching fast and as a Diamond Sponsor of the event, Antmicro will be bringing the flexibility and cross-platform nature of the open source RTOS into the spotlight. During the event...
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...
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