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IOT News
Iotbyhvm
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Best Alternatives to ESP8266 in 2025
- The ESP8266 has been a widely popular Wi-Fi module for IoT projects but new alternatives have emerged in 2025.
- Reasons for seeking alternatives include limited processing power, lack of BLE support, higher power consumption, security concerns, and limited GPIOs.
- The best alternatives in 2025 include ESP32, Raspberry Pi Pico W, nRF52840, Wio Terminal, STM32WB55, and Realtek RTL8720DN.
- Each alternative offers unique features and is suitable for different use cases such as smart home automation, industrial IoT, low-power IoT, and more.
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Iotbyhvm
4w
155
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What is SBC (Single-Board Computer) & SoC (System on Chip)
- A Single-Board Computer (SBC) is a complete computer system built onto a single circuit board, while a System on Chip (SoC) is an integrated circuit that consolidates all essential components of a computer onto a single chip.
- Key features of SBCs include a compact design, integrated CPU, RAM, storage, and I/O interfaces, low power consumption, and expandability via USB and other interfaces.
- Advantages of SBCs include cost-effectiveness, ease of use, versatility for different applications, and large community support.
- SoCs are highly integrated microchips that include components such as CPU, GPU, RAM controller, I/O interfaces, and wireless modules. They offer advantages like space efficiency, optimized performance, and reduced complexity in hardware design.
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Embedded
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4
Cincoze Unveils its Latest Edge AI Computing Solutions for AIoT at Embedded World 2025
- Cincoze will showcase its embedded computing solutions at Embedded World 2025 in Nuremberg, Germany.
- The showcased products include GPU-embedded computers, DIN-Rail computers, rugged embedded computers, and industrial panel PCs and monitors.
- The GPU-embedded computers offer AI-optimized performance solutions and meet rigorous demands of edge AI applications.
- The lineup also includes DIN-Rail computers optimized for automation, machine vision, and industrial systems, as well as rugged embedded computers built for extreme industrial conditions.
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Medium
4w
191
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“Unlocking the Future: How Solution Product Management Drives Enterprise Growth”
- Solution Product Managers operate at the intersection of products and services, leveraging connectivity and 'as-a-service' models for value creation.
- Developing market-driven strategies and outcome-based solutions that solve measurable customer problems is crucial in today's customer-centric landscape.
- Solution product management requires finding a balance between offering a standardized solution and allowing for customization to meet individual customer needs.
- Embracing a personalized approach and focusing on measurable outcomes can lead to success in solution product management.
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Medium
4w
71
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The Future of Advertising: How IoT, Gamification & AI Are Changing the Game
- The Future of Advertising: How IoT, Gamification & AI Are Changing the Game
- IoT enables real-time, hyper-contextual advertising based on real-world conditions.
- Gamification increases engagement, loyalty, and conversion rates, leading to business impact.
- AI automates decisions, optimizes content, and delivers personalized messages for advertising success.
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Pymnts
4w
31
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Smart Salt Shakers and Selfie Toasters: Meet the IoT Devices You Never Knew You Needed
- The connected economy driven by the Internet of Things (IoT) is transforming daily interactions and shaping consumer payment behavior.
- Device ownership, including smartphones, smartwatches, and voice-activated speakers, influences payment preferences towards digital wallets and online shopping.
- Consumers are categorized into personas based on their affinity for connected devices, providing insights for businesses in the evolving payments landscape.
- In the world of smart devices, innovative products like LG's smart mirror refrigerator and bizarre gadgets like a Voice-Activated Commode are emerging.
- The Selfie Toaster prints your face on toast, the Smart Salt Shaker dispenses salt via a smartphone app, and the HapiFork monitors eating speed.
- The MouthPad transforms your tongue into a computer mouse, Samsung's Ballie Robot follows you around projecting videos, and the Egg Minder tracks eggs in your refrigerator.
- While IoT has driven efficiency, the comedic value of quirky smart devices like these serves as a reminder that not all connected gadgets are essential.
- As technology advances, distinguishing between genuinely useful IoT devices and novelty items becomes crucial in enhancing daily life.
- The Internet of Things continues to introduce innovative products, but discerning practicality remains key in navigating the connected future.
- In a world of interconnected devices, understanding the impact of IoT on consumer behavior and everyday life is essential for businesses to adapt and thrive.
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Dev
4w
222
Image Credit: Dev
How To Process IoT Sensor Data with Windowed Aggregations and ML Inference
- Internet of Things (IoT) data from sensors can provide real-time insights, predictive maintenance, and operational efficiencies.
- Real-time analytics pipeline using Amazon Kinesis, Apache Flink, and Amazon EMR processes IoT sensor data.
- Components include IoT sensors, Kinesis Data Streams, EMR with Flink, ML inference, and data storage.
- Steps involve setting up Kinesis Data Streams, simulating sensor data, and configuring EMR with Flink.
- Apache Flink application consumes Kinesis data, performs windowed aggregations, and integrates ML inference.
- ML inference involves deploying models on SageMaker and invoking predictions from the Flink application.
- Results can be stored in Amazon S3 and visualized using Amazon QuickSight for insights and monitoring.
- Real-life use case includes predictive maintenance in manufacturing for anomaly detection and failure prediction.
- Overall, the article guides building a scalable real-time analytics solution for IoT data processing and ML integration.
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Iotbyhvm
4w
196
Image Credit: Iotbyhvm
Role of Quantum AI and Modern Technologies in Trading
- Quantum AI and modern technologies like AI are transforming the world of trading by enhancing data processing speed and predictive analytics in trading platforms.
- Quantum AI merges quantum computing with AI algorithms, enabling faster and more accurate data analysis than traditional computing methods.
- Benefits of Quantum AI for traders include faster trade execution, improved risk management, and greater accuracy in decision-making.
- Challenges such as scalability issues and security concerns need to be addressed for the full integration of Quantum AI in trading platforms.
- Real-world examples from companies like IBM and Google showcase the use of Quantum AI in developing trading algorithms and financial forecasting.
- Quantum AI is poised to revolutionize trading by providing more efficient and profitable experiences, but ongoing developments and challenges must be carefully monitored.
- The potential of Quantum AI in trading signifies a significant shift towards faster, more accurate data processing and optimization, paving the way for a future of enhanced trading strategies.
- Traders are advised to stay informed about Quantum AI advancements to stay competitive in the evolving landscape of financial markets.
- Notable companies like IBM and Google are leading the way in utilizing Quantum AI for financial applications, showcasing the technology's potential in transforming trading practices.
- While Quantum AI holds promise for trading, challenges like scalability and security need to be overcome for its widespread adoption and successful implementation in the financial industry.
- Disclaimer: The article emphasizes that educational purposes, not financial advice. Traders should conduct their own research or seek advice from financial experts before making trading decisions.
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Iotbyhvm
4w
26
Image Credit: Iotbyhvm
Modern Technologies in Trading and Role of Quantum AI
- The financial trading landscape has evolved with the advent of AI and quantum computing, with Quantum AI Italy merging the two to enhance trading decisions and predictions.
- Key advancements in trading technologies include algorithmic trading, machine learning, blockchain in cryptocurrency trading, and high-frequency trading.
- Quantum AI Italy revolutionizes trading by leveraging quantum computing for faster data processing, enhanced predictive accuracy, improved risk management, and optimized portfolio management.
- Real-world applications of Quantum AI Italy span hedge funds, retail trading platforms, cryptocurrency exchanges, central banks, and financial institutions.
- Challenges of Quantum AI Italy include high implementation costs, complexity, expertise requirements, and regulatory concerns in trading.
- The future of Quantum AI Italy in trading may involve robo-advisors, decentralized quantum trading networks, and real-time market simulation tools to prevent financial crises.
- Embracing Quantum AI Italy offers traders speed, accuracy, and efficiency, providing a competitive edge in the evolving market landscape.
- Traders are encouraged to explore Quantum AI Italy for smarter investment decisions, with a reminder that trading and investing carry risks that should be carefully assessed.
- As quantum computing technology advances, the integration of Quantum AI Italy in trading is expected to grow exponentially, reshaping financial markets for the better.
- The future of trading lies in embracing Quantum AI Italy and leveraging its capabilities for more informed and efficient trading strategies.
- Always conduct thorough research or consult a financial advisor before making trading decisions, and stay informed about the evolving landscape of Quantum AI in trading.
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Eu-Startups
4w
401
GaltTec secures €1 million to power drones and IoT devices with next-generation fuel cells
- Estonian startup GaltTec OÜ has raised €1 million in a pre-Seed funding round.
- The funding will be used to develop fuel cell technology for drones and IoT devices.
- GaltTec's fuel cells aim to provide lightweight and long-lasting power solutions, reducing the reliance on conventional batteries.
- The company has already partnered with drone manufacturers and is exploring both commercial and defense sectors.
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Alvinashcraft
4w
258
Image Credit: Alvinashcraft
Dew Drop – February 28, 2025 (#4372)
- The Dew Drop for February 28, 2025, features top links in technology including podcasts, software releases, and coding updates.
- Notable mentions in the web and cloud development section cover topics like TypeScript, Azure Functions, and Dapr v1.15 release.
- In WinUI, .NET MAUI, and XAML, Uno Platform updates its Todo Sample while Visual Studio 2022 v17.13 introduces AI-powered enhancements.
- AI-related highlights include OpenAI's GPT-4.5 system card, Microsoft Copilot developments, and discussions on AI in gaming.
- Design, methodology, and testing articles focus on mental health in IT, CI/CD best practices, and serverless computing.
- Mobile development updates include Amazon CEO's hint at new Alexa hardware, the Raspberry Pi Official Magazine, and EA's release of old game source code.
- Screencasts, podcasts, community events, and database management also find mentions in this technology roundup.
- Miscellaneous news includes reports on Microsoft potentially discontinuing Skype, DOGE's impact, and Trump's tariffs taking effect.
- Additional links collections provide quick access to Oracle Database news, Windows updates, and daily reading lists.
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Medium
4w
17
Your Smart Home is Listening: The Hidden Privacy Risks of IoT Devices
- Smart devices, such as smart speakers and smart TVs, listen to conversations and collect data for personalized ads.
- Companies use IoT data for targeted advertising, analyzing viewing habits and processing voice commands.
- To secure your smart home, adjust settings to disable unnecessary voice storage, use a guest network, mute devices when not in use, delete stored recordings, and regularly update software.
- Balancing convenience and security is crucial when using smart home devices.
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Medium
4w
419
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5 Fast Growing Technologies Transforming Our World
- Quantum computing is promising to solve complex problems that traditional computers can't, offering solutions to pressing challenges.
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Siliconangle
4w
214
Image Credit: Siliconangle
What to expect during MWC25 Barcelona: Join theCUBE March 3-6
- MWC25 Barcelona will feature advancements in AI, 5G, and mobile connectivity, with a focus on AI-driven networks and edge computing.
- Telcos are increasingly involved in AI edge applications, which could redefine their business models and create new revenue opportunities.
- Qualcomm, Intel, and Nvidia are set to demonstrate the convergence of AI and 5G at the event to accelerate innovation in IoT.
- The industry is adapting to be more open to external influences, as highlighted by Chris Lewis, founder of Lewis Insight Ltd.
- TheCUBE by SiliconANGLE Media will provide coverage of MWC25 Barcelona from March 3-6, with a focus on AI, 5G, IoT, and sustainability.
- A key area of interest will be the role of telcos in AI edge applications, with players like Cisco Systems and chipmakers like Nvidia expected to make significant contributions.
- Nvidia's AI Aerial platform could potentially generate billions in revenue for telecom operators through AI-based radio access networks.
- Industry analyst Zeus Kerravala emphasizes the importance of service provider success in the tech sector, especially with the rise of cloud, mobility, and AI.
- Viewers can catch theCUBE's live coverage of MWC25 Barcelona on March 3-6 and explore on-demand content through various platforms.
- Exclusive interviews with industry experts on hardware innovations, edge devices, AI, 5G, IoT, and sustainability will be a highlight of the event.
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Iotbyhvm
4w
272
Image Credit: Iotbyhvm
Grok AI in Trading: The Future of Predictive Analytics and Automation
- AI technologies, particularly Grok AI, are revolutionizing trading by enabling automated decision-making, predictive analytics, and algorithmic trading.
- Key benefits of AI in trading include enhanced data analysis, automation, predictive insights, risk management, cost efficiency, and scalability.
- Grok AI is an AI-powered tool that provides market insights, automates trading processes, and offers highly accurate predictions and personalized trading strategies.
- The unique features of Grok AI include sentiment analysis, natural language processing, adaptive learning, custom alerts, and backtesting tools.
- Grok AI's use cases encompass market sentiment analysis, predictive analytics, portfolio management, real-time alerts, high-frequency trading, and regulatory compliance.
- Advantages of using Grok AI include accuracy, efficiency, accessibility, customization, speed, and risk reduction in trading practices.
- Challenges and considerations related to Grok AI involve data quality, over-reliance on automation, market volatility, cybersecurity risks, and ethical concerns.
- The future of Grok AI and AI in trading is expected to witness advancements in machine learning, data science, integration of sophisticated algorithms, and broader accessibility for smaller trading firms and individual investors.
- Collaborative AI systems blending human intuition with machine precision are likely to become the norm in trading, enhancing decision-making processes.
- As AI continues to evolve, its role in trading will become more prominent, providing traders with powerful tools to navigate complex markets effectively.
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