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Ports

Burning Raspbian to an (micro)SD Card

Flash the image Open Etcher Select the Raspbian image Select the drive to which you want to burn Double check your selections This is critical, as you run the risk of overwriting the wrong drive (including your primary hard drive) Click “Flash!” and wait until Etcher writes and validates the image. This can take around 10 minutes. Once finished, eject your SD card […]

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The Object Finding and Obstacle Avoidance Robot A Step Towards Intelligent Machines

The Object Finding and Obstacle Avoidance Robot: A Step Towards Intelligent Machines

This little helper can autonomously search for objects you specify based on their unique RGB color patterns. It then navigates its environment, closing the distance until it reaches a designated stop point, just 10 centimeters from the target. But that’s not all! While on its mission, the robot expertly avoids any obstacles in its path,

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How the AEKD AICAR1 Machine Learning Kit Can Make You a Better Driver

How the AEKD-AICAR1 Machine Learning Kit Can Make You a Better Driver

In search of the right app ST’s SL-AIAID012401V1 kit provides a streamlined way for companies to experiment with machine learning for automotive applications. It consists of the AEKD-AICAR1 evaluation board, an AI plugin, and integration with the AutoDevKit platform. The kit’s pre-trained algorithm can recognize four states of a car: parked, normal road conditions, bumpy

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STM32H5 Benchmarks Show Unprecedented Security Potential for MCUs

STM32H5 Benchmarks Show Unprecedented Security Potential for MCUs

Oryx Embedded, an ST Partner Program member, published benchmarks demonstrating the STM32H5 can perform cryptographic computations up to 169% faster than the STM32F4. This significantly increases accessibility of networking and security solutions for embedded systems engineers. In essence, Oryx Embedded enables more efficient microcontroller-based development compared to costlier alternatives like microprocessors. Protocol implementations like TCP,

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QUICKLOGIC LAUNCHES QOMU – AN OPEN SOURCE SOC DEV KIT THAT FITS IN YOUR USB PORT

QUICKLOGIC LAUNCHES QOMU – AN OPEN SOURCE SOC DEV KIT THAT FITS IN YOUR USB PORT

QuickLogic Corporation, a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and endpoint AI solutions, today announced the introduction of its new Qomu development kit, a tiny form factor Arm® Cortex®-M4F MCU + eFPGA combination that fits into a USB Type A port. Optimized for the QuickLogic Open Reconfigurable Computing (QORC) initiative, the kit

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MPS TAPS EPC FOR 48V GAN DC DC CONVERTER

MPS TAPS EPC FOR 48V GAN DC-DC CONVERTER

The combination of MPS (Monolithic Power Systems) controllers with ultra-efficient eGaN® FETs from EPC (Efficient Power Conversion) enable best-in-class power density of 1700 W/in3 in high efficiency, low cost LLC DC-DC Conversion Monolithic Power Systems, Inc. (MPS), a leading company in high-performance power solutions, announced the launch of a new family of 48 V – 6V digital

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TDK INTRODUCES REVOLUTIONARY MEMS BASED CO2 GAS SENSOR PLATFORM

TDK INTRODUCES REVOLUTIONARY MEMS-BASED CO2 GAS SENSOR PLATFORM

TDK Corporation announces the InvenSense TCE-11101, a miniaturized ultra-low-power MEMS gas sensor platform for direct and accurate detection of CO2 in-home, automotive, IoT, healthcare, and other applications. The TCE-11101 introduces new technology that expands TDK’s sensor leadership into new applications and solutions, as part of the new SmartEnviroTM family. Its small size and low power enable consumer and commercial devices of

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BOSCHS BHI260AP SELF LEARNING AI SMART SENSOR FOR FITNESS TRACKING

BOSCH’S BHI260AP SELF-LEARNING AI SMART SENSOR FOR FITNESS TRACKING

Athletes have started relying on fitness trackers to monitor their daily exercise and to improve their performance. After a series of developments in smart trackers for athletes, Bosch has now released its new self-learning AI smart sensor – BHI260AP specially designed for fitness tracking, navigation, machine learning analytics, and orientation estimation. The self-learning AI sensor will change how users interact with

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