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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...
OPEN HARDWARE, EDGE AI

OPEN SOURCE QUALCOMM SNAPDRAGON 845 BASEBOARD

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Picture of the Snapdragon 845 baseboard 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...
EDGE AI, OPEN CLOUD SYSTEMS

DEPLOYING HYBRID AI SOLUTIONS ON EDGE DEVICE FLEETS

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Hybrid data processing 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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