Embedded Systems
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- Category: Embedded Systems
MikroElektronika (MIKROE) has launched LTE IoT 8 Click – a member of the 1000-piece peripheral development board family – aimed at designers of low-power LTE-M and NB-IoT connectivity solutions in wearables, asset tracking, industrial monitoring, and smart metering.
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- Category: Embedded Systems
Currently, embedded security systems are essential. Attackers can access tools very cheaply, so it's common for them to exploit vulnerabilities in IoT devices. Furthermore, in today's environment, there are a large number of remotely connected devices, so if they manage to compromise a single target device, they can gain access to the entire IoT installation.
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In the past, designing a compact computer relied on ITX and Mini-ITX motherboards, but it wasn't much different from assembling a typical PC. As technology developed, including integrated graphics processors (GPUs) with the central processing unit (CPU), single-board solutions emerged, meaning most components were pre-installed on the motherboard. This enabled significant miniaturization.
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Congatec introduces new COM (Computer-on-Modules) based on the 11th generation Intel® Core® processor with soldered RAM for enhanced shock and vibration resistance. Designed to withstand extreme temperature ranges from -40°C to +85°C, the new COM Express Type 6 modules provide complete compliance for shock and vibration-resistant operation in demanding transportation and mobility applications.
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MikroElektronika (MIKROE) has launched FUSION for PIC v8, which offers universal support for PIC, dsPIC, PIC24, and PIC32 microcontrollers on a single board. FUSION development boards are ideal for rapid prototyping and are equipped with everything engineers need for their latest projects.
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SGET eV has published a new design guide for its latest SMARC 2.1.1 specification. It provides embedded system developers with a design guide for SMARC-based motherboards and now covers all the features and interfaces implemented with the recent SMARC specification update.
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Blaize and eYs3D Microelectronics have announced a reference design for the Blaize Pathfinder P1600 System-on-Module (SoM). The Blaize Pathfinder P1600 integrates with the eYs3D Depth Camera line of 3D cameras. This camera line features unique stereoscopic vision capabilities that deliver millimeter-level depth accuracy at optimal distances and are used for AI-based autonomous operation both indoors and outdoors
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BittWare announces the expansion of its IA Series of accelerators based on Intel® Agilex™ FPGA devices. BittWare's IA Series FPGA accelerators are designed to help customers develop and deploy next-generation applications at the edge and in the cloud with greater flexibility and speed, while also reducing risk.
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MikroElektronika (MIKROE) introduces SiBRAIN, a standard for add-on development boards that simplifies the installation and interchangeability of a microcontroller (MCU) on a development board equipped with the SiBRAIN socket. SiBRAIN allows embedded system designers to test different MCUs in a prototype system without having to invest in expensive hardware or learn new tools.
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Renesas Electronics Corporation has announced that customers designing with all of Renesas' 32-bit MCU families now have access to Microsoft's Azure Real-Time Operating System (RTOS) embedded development suite, including its powerful Azure IoT middleware.
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Innodisk has unveiled its latest CAN Bus modules. Demand for unmanned systems has been growing since 2020, with an estimated CAGR of 12.23% for the UAV segment, according to a Fortune Business Insights report. Many industrial sectors, such as agriculture, logistics, transportation, and aerospace, have been impacted by unmanned systems and have begun to leverage the advantages offered by drone technologies.
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Congatec expands its i.MX 8 ecosystem with a new starter set for AI-accelerated intelligent embedded vision applications. Based on a COM SMARC module with an i.MX 8M Plus processor, the starter set's strength lies in its use of the new Neural Processing Unit (NPU) integrated into the processor. With performance up to 2.3 TOPS for deep learning-based AI, it can run inference engines and libraries such as Arm Neural Network (NN) and TensorFlow Lite.
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