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Machine learning Reference Designs
Machine learning is transforming the world. Algorithms that used to work with the cloud are now scaling beyond to the edge. From surveillance to ADAS, and robotics to data centers—explore our resources to get technical expertise and stay up to date with machine learning trends and technology.
The Avnet S32V development kit is an Arm Cortex-A53 quad core based development platform for vision, machine learning, and sensor fusion applications.
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RZBoard V2L is a power efficient, vision-AI accelerated development board in popular single board computer format with well supported expansion interfaces.
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Infineon's PSoC 6 AI Eval Kit is a hardware platform focused on Edge AI. It enables customers to evaluate the ML platform IMAGIMOB Studio, as well as ready to deploy ML models, and other SW.
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The QorIQ LS1046A and LS1026A processors integrate quad and dual 64-bit Arm Cortex-A72 cores respectively with packet processing acceleration and high-speed peripherals.
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The QorIQ LX2160A Reference Design Board implements the Layerscape LX2160A Multicore Communications Processor with sixteen Arm Cortex-A72 cores.
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The Smart Application Blueprint for Rapid Engineering (SABRE) board for smart devices provides the development kit and software to evaluate NXP's i.MX 6 series of applications processors.
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This reference design features the second-generation of STM32MP2 microprocessors enabling secure, advanced edge AI in Industry 4.0.
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The STM32N6570-DK Discovery kit is a complete demonstration and development platform for the Arm Cortex core based STM32N657X0H3Q microcontroller, with ST Neural-ART accelerator embed.
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