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Hackaday
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Unhacked Mattress Phones Home
- A high-tech bed, which costs $2,000 and requires an internet connection, has been hacked by a user named Dylan.
- By obtaining the firmware update URL, Dylan found that the bed has a mechanism that allows remote access and control.
- The unauthorized access to the bed's system could be a potential security risk, as it could be used as an entry point to launch attacks on other devices connected to the network.
- The bed is also capable of gathering data about the user's sleeping habits and presence, raising privacy concerns.
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Dev
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Creating containers with containerd on ARM
- Containerd and nerdctl provide a lightweight container runtime to create containers on ARM devices.
- Containerd is a preferred choice for IoT and edge solutions due to its small memory and CPU footprint.
- To create containers with Containerd and nerdctl:
- 1. Install containerd and nerdctl on the ARM device.
2. Use nerdctl to create a basic container.
3. Test the container by accessing the NGINX service.
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Medium
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Best Bottleneck Checker: The Ultimate 2024 Guide to Fixing Hidden System Slowdowns
- Fintech startup reduced deployment delays by 70% after using Process Street to map redundant approval steps.
- AWS Forecast helped an e-commerce site avoid Black Friday crashes by scaling servers preemptively.
- Jaeger or Zipkin can be used to track microservices delays in real time.
- Adopting a Bottleneck Triaging Framework and using tools like Prometheus or Trello can help in fixing bottlenecks and saving time.
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Embedded
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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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Embedded
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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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Medium
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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 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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Siliconangle
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Image Credit: Siliconangle
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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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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Bigdataanalyticsnews
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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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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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Image Credit: Medium
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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