Many of the world’s current megatrends are driven by solutions addressing some of the key challenges mankind is pressured to solve, and Altron Arrow is privileged to work in an industry that can contribute with technology solutions and services.
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In this series, the CIFAR network, with which it is possible to classify objects such as cats, houses, or bicycles in images, is discussed. Part 3 explains the hardware conversion of a CNN and the benefits of using an AI microcontroller with CNN accelerator.
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The EMC308x Wi-Fi/BLE series modules by Shanghai MXCHIP are Matter-certified one-stop Internet of Things solutions mainly used for IoT data communication.
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The reference board REF_XDPS2221_140W1 by Infineon was developed for USB-PD applications with a wide input range, and output voltage from 5 to 28 V.
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he EVAL-LT8306-AZ evaluation circuit demonstrates the features of the LT8306 micro-powered no-opto-isolated flyback converter, which holds tight regulation with a load current from 15 mA to 2,0 A.
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STMicroelectronics’ NUCLEO-WBA52CG is a Bluetooth Low Energy wireless and ultra-low-power board embedding a powerful and ultra-low-power radio compliant with the Bluetooth Low Energy SIG specification v5.3.
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The STLINK-V3SET is a modular standalone debugging and programming probe for the STM8 and STM32 microcontrollers, from STMicroelectronics.
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With embedded AI, integrated Qvar and anti-aliasing filter, the sensors themselves are able to provide context information.
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In the first part, the CIFAR network, with which it is possible to classify objects such as cats, houses, or bicycles in images, or to perform simple voice pattern recognition, was discussed. Part 2 explains how these neural networks can be trained to solve problems.
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Samtec’s board-to-board and cable assemblies feature extreme density with up to 1000 total I/Os on a 0,635 mm pitch, while still providing incredible 112 Gbps PAM4 performance.
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By optimising power integrity, Samtec’s new connector provides a greater signal integrity margin and improves power and thermal efficiency.
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STMicroelectronics has an ecosystem for machine learning (ML) in MEMS and sensors, which combines several hardware and software tools to help designers implement gesture and activity recognition with artificial intelligence (AI) at the edge.
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