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What is Signal Conversion? An Essential Component in IoT Devices

  • Signal conversion in IoT devices involves transforming analog signals into digital form and vice versa to enable sensors to measure parameters and actuators to respond with physical outputs.
  • This process is crucial for data integrity, noise reduction, and power optimization as IoT applications expand across various industries.
  • Analog signals are continuous waveforms with infinite values, while digital signals are binary, making accurate conversion necessary for efficient data processing and transmission.
  • Analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC) are fundamental processes in IoT engineering, involving sampling, quantization, and encoding for signal transformation.
  • ADC adheres to the Nyquist-Shannon theorem for proper sampling rates to prevent aliasing, with quantization and encoding converting analog values to binary for processing.
  • DAC reconstructs analog signals from digital values, utilizing interpolation and filtering to ensure accurate output control for actuators and analog displays.
  • Signal conditioning, including amplification, filtering, isolation, and linearization, enhances accuracy and stability in IoT applications by mitigating noise and interference.
  • Various technologies like microcontrollers, ADCs, DACs, and communication protocols such as I2C and SPI facilitate efficient signal conversion in IoT systems.
  • Challenges in signal conversion include low power consumption, real-time processing, and high fidelity, driving innovations in energy-efficient designs and AI-driven signal processing.
  • Emerging quantum-based signal conversion techniques show promise in achieving unprecedented precision for applications like quantum computing and environmental monitoring.
  • Overall, signal conversion is essential for bridging the gap between physical and digital realms in IoT devices, supporting diverse applications from healthcare to industrial automation.

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Siliconangle

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Ambient IoT Alliance launches with Intel and Qualcomm

  • The Ambient IoT Alliance has launched with members including Intel and Qualcomm.
  • The alliance aims to promote and support the development of an open, harmonized multi-standard ecosystem for ambient IoT.
  • Ambient IoT enables battery-free devices to connect with existing wireless infrastructure, allowing real-time data collection.
  • The data generated by ambient IoT devices can be used for advanced artificial intelligence applications.

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Dev

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AIoT Development: Key Tools To Use

  • AIoT, the combination of AI and IoT, shows great potential for innovative solutions across all domains.
  • AI empowers IoT devices to make autonomous decisions, support decision-making, recognize patterns, manage data efficiently, and enhance human interaction.
  • AI's ability to forecast events based on data analysis makes IoT systems more proactive and impactful.
  • To integrate AI into IoT effectively, steps include defining objectives, assessing data requirements, choosing AI tools, deciding on AI models, integration, testing, monitoring, and refining.
  • Key tools for AIoT development include AI frameworks like TensorFlow and PyTorch, cloud platforms like AWS IoT Core + Amazon SageMaker and Microsoft Azure IoT Hub + Azure Machine Learning, and edge AI tools like NVIDIA Jetson and Intel OpenVINO.
  • AIoT development requires sufficient data quality, appropriate AI tools, and a well-structured approach to achieve successful integration.
  • The use of AI frameworks, cloud platforms, and edge AI tools enables developers to create reliable and scalable AIoT systems for various applications.
  • AI's role in IoT development is crucial for enhancing autonomy, efficiency, and effectiveness in solving complex problems.
  • Successful AIoT development involves understanding machine learning's role, selecting the right tech stack, and utilizing tools for efficient data processing and analysis.
  • By combining AI, IoT, and appropriate tools, businesses can create powerful AIoT solutions that offer flexibility, efficiency, and future-proof capabilities.
  • Understanding the importance of AI in IoT and selecting the right AI tools are essential steps for building successful AIoT solutions.

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Revolutionizing Endpoint Management with a Conversational AI Platform

  • Organizations are turning to conversational AI platforms to revolutionize endpoint management in order to cope with the growing number of devices and technological advancements.
  • HCL BigFix AEX is a conversational AI platform that aims to simplify endpoint management and improve user experiences through Natural Language capabilities.
  • The platform provides automation, visibility, and security assistance to IT teams, managing all types of endpoints for improved efficiency and user satisfaction.
  • Benefits of HCL BigFix AEX include unified endpoint management, real-time insights, automation-driven efficiency, enhanced security posture, and a user-centric design.
  • It offers comprehensive capabilities, scalability, and a proven track record, making it a standout in the realm of endpoint management solutions and employee experience software.
  • Supporting teams with a digital assistant, HCL BigFix AEX ensures device compliance, streamlines IT operations, and supports a hybrid workforce, freeing up time for strategic tasks.
  • Success stories across industries showcase the operational improvements achieved with HCL BigFix AEX, from retail to healthcare to finance sectors.
  • Looking ahead, HCL BigFix AEX is positioned to lead the future of endpoint management by offering innovation, security, and user-centric design for superior IT operations and experiences.
  • HCL BigFix AEX serves as a strategic enabler for modern IT operations, emphasizing efficiency, security, and compliance, and is poised to redefine the AI employee experience and endpoint management.

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Why Raspberry Pi Is the Go-To SBC for Makers, Engineers, and Educators

  • Raspberry Pi has become the most popular Single-Board Computer (SBC) due to its ease of use, robust user experience, and active community support.
  • Despite competitors with better specs and lower prices, Raspberry Pi's emphasis on usability sets it apart.
  • Great documentation, software support, and community engagement make Raspberry Pi a preferred choice for users at all skill levels.
  • Raspberry Pi focuses on accessibility, minimizing technical hurdles for beginners, educators, and professionals.
  • The SBC provides comprehensive official documentation, tutorials, and support for various projects.
  • Raspberry Pi's long-term software support ensures even early models remain functional and well-supported.
  • The Raspberry Pi community offers extensive resources and active support, setting it apart from competitors.
  • Raspberry Pi's presence in education and industry cements its position as a reliable and widely used SBC.
  • Official accessories and peripheral compatibility enhance the Raspberry Pi ecosystem for seamless project development.
  • Raspberry Pi's success lies in its user-friendly experience, software reliability, and ecosystem integration.

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Your Smart Home is Watching You — and Your Kids

  • The inherent safety issues around the Internet of Things (IoT) were dramatically presented in the Mr. Robot show.
  • The vulnerabilities of connected devices were highlighted when the E Corp lawyer's connected home was hacked.
  • It is important to be aware of the technology being used, update the software, and change default passwords to ensure security.
  • National Cyber Security Awareness Month in October serves as a reminder for individuals and organizations to prioritize online safety throughout the year.

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Kontron Steers the Evolution of Motherboard Innovation

  • Embedded computing (EC) is a prevalent technology utilized in various sectors like consumer electronics, healthcare, automotive, and aerospace for specialized tasks.
  • It involves a combination of hardware (microprocessors, sensors) and software (firmware) to collect data and control devices effectively.
  • Early examples of embedded systems include NASA's Apollo Guidance Computer and defense projects like the D-17B system for missiles.
  • Motherboards (MBs) act as central components in embedded systems, facilitating communication between hardware and enabling specific functions.
  • Kontron, a prominent player in IoT and embedded solutions, focuses on efficient manufacturing and customized BIOS for security and reliability.
  • Recent developments in industrial MBs include upgrades in processors, memory, PCIe interface, and energy-efficient designs.
  • Customizable MBs from Kontron meet industry needs with high-speed Ethernet, M.2 interfaces, USB Type-C Thunderbolt options.
  • Scalability and longevity in MB design are essential, driving the adoption of testing and validation procedures for compatibility.
  • Challenges in MB development include selecting the right technology and keeping pace with advancements in AI, IoT, and automation.
  • Future trends point towards increased demand for industrial MBs with higher performance, smaller sizes, enhanced connectivity, and energy efficiency.

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Renesas Introduces Energy-Efficient RA4L1 MCUs with Capacitive Touch, Segment LCD, and Enhanced Security

  • Renesas Electronics Corporation has launched the RA4L1 microcontroller (MCU) group, introducing 14 new devices with ultra-low power consumption, advanced security capabilities, and segment LCD support.
  • The RA4L1 MCUs leverage proprietary low-power technology, achieving an active mode power consumption of just 168 µA/MHz at 80 MHz and a standby current as low as 1.70 µA while retaining all SRAM.
  • Renesas supports the RA4L1 MCUs with its Flexible Software Package (FSP), providing essential infrastructure software and reference software for advanced AI, motor control, and cloud solutions.
  • The RA4L1 MCUs, along with the FSP software, are now available, and Renesas has introduced supporting evaluation board and solution starter kit for rapid development.

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Siliconangle

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Augury raises $75M for AI-driven industrial equipment health and repair process optimization

  • Augury Inc., a provider of IoT sensors and AI for predicting machine repairs, has raised $75 million in a late-stage funding round.
  • The funding round was led by Lightrock, with participation from existing investors.
  • Augury's IoT sensors and AI algorithms help manufacturing and industrial businesses optimize maintenance processes by predicting potential issues and preventing failures.
  • Since its last funding round in 2021, Augury has analyzed over 500 million hours and generated an estimated $1 billion of value for its customers.

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Ambient IoT Alliance launches with Intel and Qualcomm to promote and support ambient IoT

  • The Ambient IoT Alliance has been launched with Intel Corp. and Qualcomm Inc. as founding members.
  • The alliance aims to promote and support the development of an open, harmonized multi-standard ecosystem for ambient IoT.
  • Ambient IoT enables battery-free, energy-harvesting devices to connect with existing wireless infrastructure.
  • Ambient IoT can be used in supply chains, retail channels, and healthcare delivery services, enabling real-time data collection and communication.

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Currentanalysis

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e& Carrier & Wholesale Expands Reach with Strategic Hubs

  • E& Carrier and Wholesale (C&WS) plans to establish two new hubs in Miami, Florida and Johannesburg, South Africa, while strengthening existing operations in London and Singapore.
  • The expansion aims to support international partners, forge new alliances, and unlock opportunities across the Americas and Africa.
  • E& C&WS will target enterprise, telecom operators, and digital-first businesses with 20 advanced services across voice, data, roaming, and mobility services.
  • E& C&WS has been making strategic partnerships and investments, including the acquisition of a controlling stake in PPF Telecom Group and joining the 2Africa consortium to build the world's largest subsea cable project.

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Dev

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Python containers for ARM

  • This blog post is part of the 30DaysOfIoTEdge series, focusing on using Kubernetes, ARM, and containers on the Edge.
  • The post provides a guide on creating a Python container for ARM devices, using Flask as a basic API.
  • It includes instructions on installing Docker, creating a Dockerfile, main.py file, and requirements.txt file.
  • Tips for using precompiled packages and wheels for Python on ARM devices are also shared.

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TechBullion

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How Technology Is Changing The Game For Condo Investors

  • Tech innovations are allowing property investors to manage their properties remotely and expand their portfolios.
  • Embracing technology offers flexibility and scalability, enabling investors to explore new locations and diversify their investments.
  • Utilizing remote property management software and IoT devices can help with tasks like lease management, rental payments, and property monitoring.
  • Technology improves cost-efficiency, saves time, and allows investors to maximize returns, but it comes with risks such as cybersecurity and potential tech failures.

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Medium

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6 Cool Ways to Give Your Old Raspberry Pi a New Life

  • Turn your old Raspberry Pi into a retro gaming console using software like RetroPie or Lakka.
  • Convert your Raspberry Pi into a NAS (Network-Attached Storage) device to store and access files from anywhere in your home.
  • Transform your Raspberry Pi into a mini streaming server to enjoy movies and TV shows at home.
  • Use your Raspberry Pi as a home automation hub to control smart devices and manage security cameras.

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Alvinashcraft

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Dew Drop – February 17, 2025 (#4363)

  • In the tech world, articles on various topics like adding a context menu to .NET MAUI ListView, the impact of gamification in learning, and enabling .NET Aspire for existing solutions were popular.
  • Web and cloud development discussions focused on advanced React forms, Azure Functions cost considerations, Angular basics, and Deno's JavaScript registry project.
  • Articles in the Visual Studio & .NET category covered topics like the .NET Developer Roadmap 2025, IEnumerable vs IEnumerator in C#, and the power of Dapper in .NET Core.
  • AI-related articles discussed rebuilding a podcast website quickly, advancements in AI models, intelligent automation with AI agents, and Microsoft Copilot Academy's extensibility features.
  • Design, methodology & testing articles delved into Terraform 101 for infrastructure as code, innovation theory, building Windows driver projects, and the defense of having multiple works in progress.
  • Mobile, IoT & game development covered projects like a Raspberry Pi-based home security system, gRPC Swift 2, and the TrustedTime API for reliable timekeeping in apps.
  • Podcast highlights included discussions on self-taught coding journeys, software failures and recovery, and the evolution of Blazor over seven years.
  • Community and events news featured Microsoft Build and Google I/O dates, Redgate Summit's return to London, and Instagram testing a feature to downrank comments.
  • In the database realm, topics like aggregates in SQL Server, disk space reclamation in RavenDB 7.1, and cursor pagination were explored.
  • Miscellaneous articles covered writing a GIMP 3.0 plugin, toxic brake pad dust, and updates on Windows 11 Insider Preview Builds.
  • The Geek Shelf recommendation was for the book 'Learn WinUI 3, Second Edition' by Alvin Ashcraft.

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