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edge-ai

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,...
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...
EDGE AI, OPEN MACHINE VISION

DEPLOYING DEEP LEARNING MODELS ON THE EDGE WITH KENNING

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Edge AI development flow 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...
OPEN ISA, EDGE AI, OPEN SOURCE TOOLS, OPEN HARDWARE

RENODE 1.12 RELEASE - NEW PLATFORMS, SENSORS AND DEBUGGING FEATURES

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RE 1.12 Originally created to meet Antmicro’s internal need for a flexible system design and testing tool, Renode has been in use by numerous projects and organizations including internet giants like Google, Microsoft and Amazon,...
EDGE AI, OPEN MACHINE VISION

ROS-BASED TESTER FOR TRACKING AND DETECTION ALGORITHMS

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ROS tester report For more than a decade Antmicro has been helping customers from a range of industrial sectors adopt real time AI applications that automate complex tasks and significantly improve work in terms of efficiency, time and cost...
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