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IOT News
Siliconangle
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194
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Cloud, 5G and AI: The key forces accelerating the next wave of telecom innovation
- Telecom providers are shifting towards flexible, software-driven architectures to modernize networks.
- AWS is extending its cloud capabilities to the telecom sector with solutions like Outposts for 5G.
- By running RAN functions on AWS Outpost servers, telecom providers can optimize network efficiency and enable AI-driven automation at the edge.
- AI is playing a crucial role in reshaping telecom services, providing opportunities for optimization and operation of networks.
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Siliconangle
4w
154
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Broadcom drives application-aware networking for the AI era
- Telecom operators are exploring new models to monetize networks beyond basic connectivity with the rise of AI-driven applications.
- Application-aware networking enables providers to dynamically allocate resources for critical applications like AI workloads.
- Broadcom's VeloSky product facilitates the convergence of multiple networks at the application level, unlocking new revenue avenues.
- The approach integrates technologies such as 5G, fiber, and satellite to optimize connectivity based on specific enterprise needs.
- The focus is on dynamic adaptability, ensuring reliability and intelligent resource allocation for mission-critical applications.
- By combining different network types, including 5G, satellite, and fiber, applications can perform optimally even in high-demand scenarios.
- AI-driven workloads require rethinking network design, as they generate more upstream traffic than traditional applications.
- Real-time data and AI adjustments in networks prioritize applications with low latency, creating new revenue opportunities for service providers.
- The surge in AI applications necessitates networks that can support evolving traffic patterns, machine-to-machine communication, and data-intensive processes.
- Application-aware networking, dynamic connectivity, and AI convergence are reshaping telecom infrastructure and unlocking new capabilities.
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Siliconangle
4w
420
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How e& and IBM are shaping the future of AI and FinTech innovation
- The telecommunications industry is rapidly evolving towards AI, FinTech, and content services to create new revenue streams and compete with OTT providers.
- AI in telecommunications is driving enhanced customer experiences and operational efficiencies, with e& focusing on telecom operations integrated with advanced technology solutions.
- Harrison Lung of e& discussed the growth in revenue and net profit through AI journey, foreseeing AI's significant impact by 2025.
- AI is reshaping the telecom industry by optimizing networks, personalizing content, improving cybersecurity, and driving operational efficiencies.
- Despite the opportunities AI provides, challenges remain in regulation, governance, and data compliance across different countries.
- Partnerships like e& and IBM are driving AI governance, research, and enterprise solutions to ensure responsible AI implementation and compliance.
- Beyond research, e& and IBM are collaborating on an AI governance framework for transparency, compliance, and ethical AI usage across industries.
- IBM's global presence and technology portfolio offer valuable insights and expertise for e& to leverage in scaling its technology ambitions.
- The partnership aims to develop an end-to-end AI governance platform and framework to manage AI initiatives and processes effectively.
- The collaboration focuses on ensuring compliance, transparency, and governance in AI operations while leveraging IBM's expertise and infrastructure.
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Iotbyhvm
4w
57
Sensors and Actuators: Understanding Their Types and Uses
- Sensors and actuators are essential components in automation and smart technology, detecting, processing, and responding to environmental changes in various applications.
- Sensors detect physical, chemical, or biological changes in the environment and convert them into electrical signals for further processing and triggering actions.
- Steps for using sensors include selecting the right type, positioning them accurately, connecting to a processor, processing data, and triggering output devices.
- Various types of sensors include temperature, pressure, proximity, motion, light, gas and chemical, humidity, and sound sensors, each serving specific functions.
- Actuators receive control signals and perform physical actions such as moving, opening, or rotating, crucial in automation, robotics, and mechanical control systems.
- Using actuators involves receiving input signals, processing them, performing mechanical actions, and some actuators have feedback mechanisms for precision control.
- Types of actuators include electrical, pneumatic, hydraulic, thermal, mechanical, and piezoelectric actuators, each utilizing different forms of energy for motion.
- Sensors and actuators enable automation, intelligent decision-making, and efficiency in industrial, healthcare, and home automation applications, continually evolving with advancements in technology.
- Understanding the types and uses of sensors and actuators is vital for designing efficient and smart systems that integrate with artificial intelligence and IoT for improved functionality.
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Iotbyhvm
4w
390
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Introduction of Microcontrollers
- Microcontrollers are compact integrated circuits designed for specific tasks within embedded systems.
- They consist of a CPU, memory, and I/O peripherals embedded into a single chip.
- Microcontrollers are optimized for real-time control applications, operate on low power, and are suitable for battery-powered devices.
- Arduino is a popular microcontroller platform that provides both hardware and software.
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Iotbyhvm
4w
8
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Components of an IoT Application
- The fundamental components of an IoT application are the Internet and the Thing, which work together to enable the functionality of IoT devices.
- The 'Thing' in IoT refers to devices interacting with the physical world, often small, low-power computers with limited processing power.
- IoT devices are characterized by low power consumption, small computing capability, and sensors and actuators for data collection and environment changes.
- Examples of IoT devices include smart thermostats, smartphones, smart lights, wearable devices, and motion-activated systems.
- The Internet component enables communication between devices, applications, and cloud-based services in IoT applications.
- Cloud services in IoT provide security, data processing and storage, and connectivity to applications for IoT devices.
- IoT devices connect to the Internet using methods like WiFi, wired connections, and mesh networking such as Bluetooth and Zigbee.
- Edge computing in IoT allows local processing, providing faster processing, offline functionality, and enhanced privacy and security.
- Security is a major concern in IoT applications due to vulnerabilities like weak authentication, unsecured connections, and malware attacks.
- Improving IoT security involves measures like strong authentication, data encryption, network isolation, and 'air-gapping' to protect data privacy.
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Siliconangle
4w
365
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Balancing innovation and ethics: Cisco’s CPO talks about the future of AI and automation in business
- Cisco's Chief Product Officer, Jeetu Patel, discusses the importance of balancing innovation and ethics in the future of AI and automation in business.
- Companies need to ensure responsible and secure implementation of AI and automation, considering ethical concerns and the growing threat of cyberattacks.
- Patel emphasizes the need for a common substrate of safety and security across every AI model to counter the reliance solely on model providers.
- Data security, AI, and automation are shaping the future of the industry, with a focus on enhancing operational efficiency and driving informed business strategies.
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Iotbyhvm
4w
390
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Modern Technologies in 2025: AI and Innovative Solutions
- AI stands at the forefront of the technological transformation in 2025.
- Generative AI, such as GPT-4, is revolutionizing content creation, customer support, and programming assistance.
- In healthcare, AI enables early disease detection, virtual health assistants, and predictive analytics.
- Other innovative technologies in 2025 include Quantum Computing, IoT and Smart Cities, and Autonomous Vehicles.
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Iotbyhvm
4w
44
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Setting Up ThingSpeak for Your IoT Project
- ThingSpeak is a cloud-based platform that enables IoT devices to collect, analyze, and visualize data in real time.
- This guide provides steps to set up ThingSpeak for your IoT project, including creating an account, creating a new channel, setting up your IoT device, and visualizing data.
- ThingSpeak supports integration with MATLAB for advanced analytics.
- By following these steps, you can set up ThingSpeak, connect your IoT device, and visualize data effortlessly.
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Iotbyhvm
4w
17
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Building an IoT-Based Temperature Monitoring System with Custom PCB
- This article discusses the design and development of an IoT-based temperature monitoring system using a custom PCB.
- The project includes the integration of a DHT11 temperature and humidity sensor, an ESP8266 Wi-Fi module, and a custom PCB manufactured by PCBONLINE.
- The article outlines the circuit design and PCB layout process, along with the steps to generate Gerber files for manufacturing.
- The ESP8266 module sends temperature data to an IoT platform for real-time monitoring, and the code for the temperature monitoring system is provided.
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Iotbyhvm
4w
57
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The Importance of PCB in IoT: A Comprehensive Guide
- Printed Circuit Boards (PCBs) are crucial components in IoT devices, allowing for seamless communication, data processing, and power management.
- PCBs play key roles in miniaturizing IoT devices, managing power efficiently, ensuring connectivity, and providing durability in harsh environments.
- Various types of PCBs are used in IoT applications, including rigid, flexible, rigid-flex, and high-frequency PCBs, each catering to specific needs.
- Designing PCBs for IoT faces challenges like space constraints, power efficiency, signal integrity, and thermal management, which engineers need to address.
- Emerging trends in IoT PCB technology include embedded AI and edge computing, advanced materials, flexible PCBs, and eco-friendly manufacturing techniques.
- PCBONLINE is a reputable manufacturer providing high-quality PCBs for IoT applications, contributing to the development of innovative IoT products.
- PCBs are essential for the growth of IoT technology, influencing smart device efficiency and reliability across various industries.
- Advancements in PCB design and manufacturing will continue to shape the future of IoT devices in smart homes, healthcare, industrial automation, and communication.
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Iotbyhvm
4w
150
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Communication Protocols: I2C, SPI, UART, and CAN
- I2C (Inter-Integrated Circuit): A two-wire protocol for connecting multiple devices.
- SPI (Serial Peripheral Interface): A high-speed protocol for fast data transfer.
- UART (Universal Asynchronous Receiver-Transmitter): A simple serial communication protocol.
- CAN (Controller Area Network): A robust protocol for automotive and industrial applications.
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Iotbyhvm
4w
150
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Espruino Project: IoT Temperature and Humidity Monitor
- In this project, an IoT-based Temperature and Humidity Monitor is created using Espruino, an ESP8266 or ESP32 board, and a DHT11 sensor.
- The data is displayed on a web server, allowing real-time monitoring over WiFi.
- The project includes instructions on setting up Espruino, wiring the components, writing the code, and testing the project.
- This Espruino-based IoT project is a great way to start with JavaScript on microcontrollers.
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Iotbyhvm
4w
270
Image Credit: Iotbyhvm
Using JavaScript with NodeMCU: A Comprehensive Guide
- NodeMCU is a development board based on the ESP8266 microcontroller, popular for IoT applications.
- JavaScript can be used on NodeMCU through platforms like Espruino and Mongoose OS.
- Espruino firmware enables scripting directly on the device, while Mongoose OS is an IoT firmware development platform that supports JavaScript and C.
- Using JavaScript on NodeMCU simplifies development, enables event-driven programming, and facilitates integration with web technologies.
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Iotbyhvm
4w
106
Image Credit: Iotbyhvm
Uses of Electron.js in IoT (Internet of Things)
- Electron.js, a framework for building cross-platform desktop applications, is utilized in IoT applications for its ability to integrate with IoT hardware, communicate with embedded systems, and create user-friendly dashboards.
- Key reasons for using Electron.js in IoT include its cross-platform compatibility, rich user interface for data visualization, integration with IoT protocols like MQTT and WebSockets, and support for Node.js backend for hardware communication.
- Electron.js finds applications in IoT dashboards, edge computing for local data processing, device configuration and firmware updates, IoT security and access control, and industrial IoT (IIoT) for smart manufacturing.
- Use cases for Electron.js in IoT range from smart home control panels and energy management systems to edge devices processing IoT data locally, firmware update managers, and SCADA systems for industrial monitoring.
- In comparison to other IoT development tools, Electron.js offers cross-platform support, rich UI/UX, IoT protocol support, and security features, positioning it as a versatile choice for IoT development.
- Future trends for Electron.js in IoT include improved performance, WebAssembly integration for real-time processing, AI-powered IoT apps, and enhanced cloud integration for more robust support.
- Electron.js enables developers to create secure, scalable, and visually appealing IoT applications that work across multiple operating systems, making it an ideal tool for bridging the gap between embedded systems and end-users in the IoT landscape.
- The flexibility and vast ecosystem of Electron.js empower developers to build a wide range of IoT solutions, ultimately contributing to the growth and innovation in the IoT industry.
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