Designed for smart homes and smart buildings, Matter ensures seamless interactions between connected devices across different IP technologies.
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NXP’s LPC860 integrates a 32-bit Arm Cortex M0+ CPU, with a maximum clock frequency of 60 MHz, built-in nested interrupts, and a system tick timer for time tracking.
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The S32R41 from NXP Semiconductors is a radar microprocessor unit which uses Arm Cortex-A53 and Cortex-M7 cores, combined with dedicated radar processing accelerators, to create an optimal radar processing chain.
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STMicroelectronics’ ILPS22QS is a dual full-scale 4060 hPa absolute digital output barometer with integrated Qvar sensor.
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PassThru mode is a controller operation that enables a power source to connect to a load directly, and is used in buck-boost or boost converters to improve efficiency and electromagnetic compatibility.
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These modules by Cornell Dubilier simplify the application of supercapacitors for large energy storage, providing designers with an easy and safe alternative to lithium-ion batteries.
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A dual-band SoC, the FG28 includes radios for sub-Gigahertz (GHz) and 2,4 GHz Bluetooth LE, and a built-in AI/ML accelerator for machine learning inference.
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The STM32C0, ST's most affordable 32-bit MCU, makes 32-bit capabilities accessible to all developers.
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Revenue met the mid-point of the guidance range at $247 million, up 6% year-on-year, driven in part by strength across the company’s Bluetooth portfolio.
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Altron Arrow celebrated its 25th birthday in May with a luxurious event at its offices in Jet Park, Johannesburg. The event saw current and former employees, customers, and suppliers all reflecting on the growth and successes the company has achieved.
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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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