If only it had a Brain

Artificial Intelligence at the edge

Designed for deeply embedded applications, the Raspberry Pi is a powerful tool when it comes to artificial intelligence (AI) and machine learning (ML). Its processing capabilities, matched with a small form factor and low power requirements, make it a great choice for smart robotics and embedded projects. With the most popular frameworks like Google’s TensorFlow (TF), OpenCV, TinyML, Raspberry Pi is capable to implement embedded machine-learning applications and training custom models on the platform have made it a lot easier.

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Compute Module 4
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Raspberry Pi 4 Computer
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Raspberry Pi RP2040 Silicon
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ADI leads AI innovation with ultra-fast, energy-efficient solutions for edge applications.
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The future of AI is here. Learn how solutions and capabilities from Molex enhance our lives.
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Learn about high-performance, cost-effective, secure, turnkey solutions for edge AI from NXP.
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ST is actively involved in AI research and offers various solutions that deliver effective edge AI.
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Explore how Xilinx adaptive platforms enable developers to meet the challenges of edge AI.
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Links the digital and real world, offering secure, robust and energy-efficient edge AI solutions.
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Learn how Microchip utilizes FPGA technology in deploying scalable and extensible neural networks.
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Explore edge AI technology from nexperia that utilizes discrete components, mosfet & logic ICs.
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Explore how ON Semiconductor helps design truly efficient and high-performance edge AI solutions.
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Arduino’s series of high-performance industry-rated boards.
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Designed for deeply embedded applications, the Raspberry Pi is a powerful tool when it comes to AI.
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Edge AI solutions are moving AI to the endpoint for real-time decisions and real-time action.
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