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Codeqai AI powered coding assistant designed for semantic code search

Codeqai AI powered coding assistant

Developers and programmers are always on the lookout for tools that can make their work easier and more efficient. Enter Codeqai, an artificial intelligence AI coding assistant that’s changing the way developers interact with their code. This AI assistant is not just another addition to the toolbox; it’s a sophisticated partner that offers a new level of understanding and interaction with your codebase.

Codeqai

At the heart of Codeqai is a powerful local vector database that it uses to analyze and understand your code. This isn’t a static tool; it’s dynamic, constantly evolving to provide the most relevant insights as you code. What makes Codeqai stand out is its ability to support a wide range of programming languages, including popular ones like TypeScript, JavaScript, and Java. This means that no matter what language your project is in, Codeqai is equipped to help.

Search your codebase semantically or chat with it from cli. Keep the vector database superfast up to date to the latest code changes. 100% local support without any dataleaks. Built with langchain, treesitter, sentence-transformers, instructor-embedding, faiss, lama.cpp, Ollama. You can also install codeqai through PyPI with “pip install codeqai”. However, it is recommended to use pipx instead to benefit from isolated environments.

AI powered coding assistant

Using Codeqai is as simple as having a conversation. It features a command prompt and a chat interface that allows you to ask questions in plain language and receive detailed, contextually accurate answers. This ease of use is made possible by advanced technologies such as Tree-sitter and Sentence Transformers, which give Codeqai the ability to understand and interpret code with remarkable accuracy.

But Codeqai’s AI coding assistant capabilities don’t stop there. It also integrates with various frameworks and toolkits, including Lang chain and Hugging Face’s model hub. These integrations open up a world of language models and embeddings, enabling you to tailor Codeqai to your specific coding needs.

Getting started with Codeqai is straightforward. All you need is Python 3.9 or newer to install it. Once you’re set up, you’ll have access to an exclusive Discord community where you can connect with other developers and discover a wealth of AI tools and resources. For businesses looking to harness the power of AI, Codeqai offers consulting services to help integrate AI solutions seamlessly.

For developers who are serious about enhancing their coding skills and efficiency, Codeqai is an invaluable tool. Its ability to understand and interact with your codebase semantically, combined with its continuous updates and support for multiple languages, makes Codeqai an essential asset for any developer looking to refine their coding process.

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New AI powered Samsung Ballie Robot appears at CES (Video)

Samsung Ballie

We first saw the Samsung Ballie Robot at CES back in 2020, and now at CES 2024, Samsung has unveiled an updated Ballie robot and this one comes with some upgrades over the original version.

The new Samsung Ballie robot is powered by AI and ti comes with a built-in projector, the device is designed to be a robotic assistant for your home, have a look at the video of it in. action below.

Ballie acts as a personal home assistant, autonomously driving around the home to complete various tasks. By connecting to and managing home appliances, Ballie can provide a helping hand to users in many situations — continually learning from users’ patterns and habits to provide smarter, more personalized services. Ballie provides peace of mind by sending video updates of pets or loved ones to users’ devices when they’re away from home. What’s more, Ballie can set the mood for any home activity whether users are exercising, working or relaxing. From projecting workout videos on the wall or floor in an optimal size to playing music and answering phone calls, Ballie makes life at home more productive and enjoyable.

The Samsung Ballie Robot certainly looks very interesting from the video, as yet there are no details on when this new AI powered robot companion will go on sale or how much it will cost.

Source Samsung

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New AI powered Samsung Bespoke devices coming at CES 2024

Samsung Bespoke

Samsung has announced that it will be unveiling a range of AI-powered Samsung Bespoke kitchen devices at CES 2024, this will include the new 2024 Bespoke 4-Door Flex™ Refrigerator with AI Family Hub™ and Samsung’s AI Vision.

With the Bespoke 4-Door Flex™ Refrigerator with AI Family Hub™+ as the centerpiece, the food ecosystem is all about how the AI features in these kitchen products and the Samsung Food service connect and support each other, enabling users to have a better relationship with their food throughout the day and delivering a full range of smart, connected kitchen experiences.

Samsung Food also connects with and ties in Samsung Health6 to benefit the lives of users. The service uses health information collected from Samsung Health to suggest healthy, appropriate recipes. After that, users can send cooking instructions for these recipes to their various kitchen appliances with just a few key presses.

Then there is Tap View,7 which offers enhanced convenience by allowing users to easily mirror the display of their Galaxy smartphones to the Family Hub™+ screen. Furthermore, users can also enjoy YouTube and TikTok8 applications on the refrigerator screen for more information and entertainment.

You can find out more information on exactly what Samsung has planned for its AI-powered Samsung Bespoke devices over at its website at the link below. We are looking forward to seeing all of the new Samsung devices at this year’s consumer electronics show.

Source Samsung

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ChatGPT powered smart presentation tool

Cheerdots2 ChatGPT powered smart presentation tool

In the world of technology, innovation is key. This is evident in the development of Cheerdots 2, a multi-functional device that integrates the features of a mouse, touchpad, laser pointer, and recording pen. This unique device, powered by ChatGPT, is designed to streamline various tasks, making it a valuable tool for professionals, students, and technology enthusiasts alike.

One of the most notable features of Cheerdots 2 is its ability to serve multiple functionalities. It’s not just a typical mouse or touchpad; it’s a device that combines the capabilities of an air mouse and touchpad, along with a laser pointer and recording pen. This blend of functionalities makes it not just a tool, but a partner in productivity, providing users with a diverse set of tools all in one device. Early bird specials are now available for the groundbreaking project from roughly $69 or £59 (depending on current exchange rates).

ChatGPT presentation tool

Cheerdots 2 is also a potent presentation tool, equipped with a laser pointer and spotlight features. Whether it’s for a business meeting, a classroom presentation, or a conference, the device can be used to highlight key points, draw attention to specific areas on a screen, or guide an audience through a presentation. The spotlight features, red light signs, and green laser pointer add a level of professionalism and precision to any presentation, making it a must-have for presenters.

In addition to its presentation capabilities, Cheerdots 2 has the ability to record and transcribe meetings or speeches. With a single tap, the device can capture all spoken words, eliminating the need for manual note-taking. The recorded content, including audio, transcribed text, and auto-generated summaries, can be accessed and reviewed at any time via the Cheerdots 2 AI software. This feature is particularly useful for professionals who need to review meeting discussions, students who want to revisit lectures, or anyone who wants to ensure they don’t miss any critical information.

ChatGPT presentation tool

The Cheerdots2 doesn’t stop at recording and transcribing; it also offers the capability to sort and summarize meeting notes quickly. With a simple click, Cheerdots 2 can sort meeting summaries, simplifying note-taking and providing quick insights. This feature is invaluable for busy professionals who need to digest information quickly or students who need to review key points from a lecture.

Assuming that the Cheerdots2 funding campaign successfully raises its required pledge goal and fullfilment progresses smoothly, worldwide shipping is expected to take place sometime around March 2024. To learn more about the Cheerdots2 ChatGPT powered smart presentation tool project browse the promotional video below.

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Sharing of meeting summaries is made effortless with Cheerdots 2. The device allows for easy sharing of meeting summaries using QR codes, facilitating collaboration among team members or classmates. This feature not only simplifies the sharing process but also ensures that everyone has access to the same information, promoting transparency and efficiency.

The design of Cheerdots 2 is another aspect worth noting. The device features a detachable design, serving as both a mouse and a touchpad. It allows for custom gestures, providing users with a personalized and intuitive user experience.

Finally, Cheerdots 2 boasts a long battery life. The device can last over 20 days on a single full charge, ensuring that users won’t have to worry about the device dying in the middle of a meeting, presentation, or study session.

Cheerdots 2 is a multi-functional device that offers a unique blend of features designed to enhance productivity and efficiency. Whether it’s for professional use, academic use, or personal use, this device is a valuable tool that can simplify various tasks and streamline workflows.

For a complete list of all available campaign pledges, stretch goals, extra media and key features for the ChatGPT powered smart presentation tool, jump over to the official Cheerdots2 crowd funding campaign page by visiting the link below.

Source : Kickstarter

Disclaimer: Participating in Kickstarter campaigns involves inherent risks. While many projects successfully meet their goals, others may fail to deliver due to numerous challenges. Always conduct thorough research and exercise caution when pledging your hard-earned money.

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How to use Aider AI coding assistant powered by OpenAI GPT-4

How to use Aider AI coding assistant powered by OpenAI GPT-4

Improving your software development workflow has never been easier thanks to the explosion of AI tools and large language models such as Copilot, , ChatGPT and others. Aider as another AI-powered coding assistant well worth checking out  as it has been designed to streamline your coding process. Powered by sophisticated technology of OpenAI’s GPT-4 and GPT-3.5 APIs, Aider offers a command-line interface that can significantly enhance your coding tasks. This tool is not just another addition to your toolkit; it’s a smart assistant that can help you manage your code more effectively.

Aider stands out with its seamless Git integration, which allows you to commit code directly to your repositories. This integration is a time-saver, cutting down on the steps you need to take to manage your version control. It’s not just about saving a few keystrokes; Aider ‘s integration can help prevent errors that often occur when handling code manually. The AI’s ability to generate code snippets, run unit tests, and refactor code is a testament to its advanced capabilities.

Using Aider AI coding assistant

Getting started with Aider is straightforward. You can install it using pip, the Python package manager, which is a familiar process for many developers. Once installed, you’ll need to set up your environment with an OpenAI API key. This key is crucial as it allows Ida to communicate with the GPT-4 and GPT-3.5 APIs. For those looking to get the most out of Ida, integrating ctags can enhance your experience by enabling efficient source code indexing and navigation.

Features of Aider

– Chat with GPT about your code by launching aider from the command line with set of source files to discuss and edit together. Aider lets GPT see and edit the content of those files.
– GPT can write and edit code in most popular languages: python, javascript, typescript, html, css, etc.
– Request new features, changes, improvements, or bug fixes to your code. Ask for new test cases, updated documentation or code refactors.
– Aider will apply the edits suggested by GPT directly to your source files.
– Aider will automatically commit each changeset to your local git repo with a descriptive commit message. These frequent, automatic commits provide a safety net. It’s easy to undo changes or use standard git workflows to manage longer sequences of changes.
– You can use aider with multiple source files at once, so GPT can make coordinated code changes across all of them in a single changeset/commit.
– Aider can give GPT-4 a map of your entire git repo, which helps it understand and modify large codebases.
– You can also edit files by hand using your editor while chatting with aider. Aider will notice these out-of-band edits and keep GPT up to date with the latest versions of your files. This lets you bounce back and forth between the aider chat and your editor, to collaboratively code with GPT.

Aider ‘s compatibility with popular code editors like Visual Studio Code is a significant advantage. Whether you’re a fan of Visual Studio Code’s extensive features or Vim’s minimalist approach, Aider can fit into your existing workflow. This adaptability means you don’t have to change your coding habits to benefit from AI-powered enhancements.

The automation of routine coding tasks is where Aider truly shines. By handling the mundane aspects of coding, Aider not only saves you time but also reduces the likelihood of human error. This can lead to substantial cost savings, as you can allocate your resources to more complex and creative tasks. The result is a higher value delivered to your clients, as you can focus on innovation rather than routine code management.

AI coding tools like Aider are at the forefront of a shift in development practices. As AI technology continues to evolve, these tools will become even more integral to improving code quality and developer productivity. By adopting AI assistants early on, developers can stay ahead of the curve and be prepared for the industry’s technological advancements.

Aider AI’s IDE  is more than just a coding tool; it’s a partner in your development journey. Integrating Aider into your daily routine can elevate your productivity and improve the quality of your code. In the competitive field of software development, utilizing AI tools is not just about keeping up with trends—it’s about excelling and providing exceptional value to your clients. With Aider , you’re not just coding; you’re crafting the future of software development.

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AI ready OLED laptops powered Intel Core Ultra

Acer Swift Go 14 AI ready OLED laptops powered Intel Core Ultra CPUs

The laptop market is set to become even more competitive with Acer’s introduction of the AI-ready Swift Go 14 laptop, powered by Intel Core Ultra processors. A key player in the tech industry, Acer has been known for its innovative and high-performing products. This time, with the Swift Go 14, Acer takes a leap forward, offering advanced AI features, next-generation performance, and a lightweight design with an OLED display.

At the heart of the Swift Go 14 is the new Intel Core Ultra 7 155H processor, which is verified as an Intel Evo Edition platform laptop. This processor, coupled with Intel Arc GPU and Intel AI Boost, an integrated neural processing unit (NPU), ensures efficient AI workloads and immersive experiences. This combination of hardware allows the laptop to deliver impressive performance, whether for work, play, or creative projects.

 Intel Core Ultra AI ready laptops

One of the most notable features of the Swift Go 14 is its AI capabilities. The laptop includes AI features such as Acer PurifiedVoice and Acer PurifiedView, which are particularly useful for videoconferencing and customization tools. Acer PurifiedVoice is designed to enhance voice clarity during video calls, while Acer PurifiedView improves the visual experience, delivering crisp and vibrant images.

The Swift Go 14 also includes Acer QuickPanel, a feature that allows for swift and easy configuration of videoconferencing solutions. Additionally, it offers Acer AlterView, a tool that can convert 2D images into animated wallpapers with 3D effects. This feature can add a touch of personalization and creativity to the user’s laptop experience.

Another significant AI feature is the laptop’s use of Copilot in Windows. This tool assists in work, creation, and play, providing personalized answers, inspiration, and task assistance. Furthermore, the laptop includes a dedicated AcerSense button for managing laptop performance, maintenance, and customizing experiences.

Acer Swift Go 14 laptop

The Swift Go 14’s 1440p QHD webcam is more responsive and requires less power from the device, thanks to AI-supported technology. This feature enhances the videoconferencing experience, making it more efficient and enjoyable.

Despite its powerful features, the Swift Go 14 maintains a lightweight design. With an aluminium chassis weighing 1.32 kg and a thickness of 14.9 mm, this laptop is easy to carry around, making it an excellent choice for professionals and students alike. Moreover, the laptop features a 2.8K resolution (2880×1800) OLED panel with 100% DCI-P3, VESA Display HDR True Black 500 certification, and a 90 Hz refresh rate, offering an immersive visual experience.

The Swift Go 14 also offers extended battery life of up to 12.5 hours, fast charging, and an instant wake feature, making it an excellent choice for those who need a reliable, long-lasting laptop for work or play. The laptop can also be paired with Android or iOS devices for a seamless integrated experience for file transfers, calling, messaging, and device management.

The Acer Swift Go 14 (SFG14-72) will be available in North America in January 2024, starting at USD 799.99, and in EMEA in December, starting at EUR 1199. The Swift Go 14, with its advanced AI features, powerful Intel Core Ultra processor, and lightweight design, is set to be a strong contender in the laptop market.

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AMD Ryzen Embedded 7000 Series processors powered by Zen 4

AMD Ryzen Embedded 7000 Series Processors Powered by Zen 4

The world of high-performance industrial applications has been invigorated with the announcement of AMD’s Ryzen Embedded 7000 Series processor family. This announcement, made at Smart Production Solutions 2023, marks a significant milestone in the embedded market, introducing a series of processors that combine AMD’s “Zen 4” architecture and integrated Radeon graphics. This fusion of technology offers a level of performance and functionality that was previously unavailable in the embedded market.

The AMD Ryzen 7000 Series is a pioneering product line, being the first embedded processor to utilize 5 nm technology. This advancement is accompanied by a 7-year manufacturing availability commitment from AMD, showcasing the company’s dedication to long-term support and reliability. The use of 5 nm technology is a significant step forward, potentially enabling greater efficiency and performance in a variety of industrial applications.

Ryzen Embedded 7000 Series processors features:

  • “Zen 4” architecture, featuring up to 12 high-performance CPU cores
  • Integrated Radeon RNDA2 graphics 1 WGP @ 2.20 GHz max
  • AM5 socket, LGA 40 mm x 40 mm, 1718 pin
  • TDP from 65 W to 105 W
  • Support for Dual-Channel ECC DDR5 memory at speeds up to 5200MT/s
  • Up to 28 lanes of PCIe 5 connectivity on-chip

One of the standout features of the Ryzen Embedded 7000 Series processors is the integration of AMD Radeon RDNA 2 graphics. This integration eliminates the need for a separate GPU for industrial applications, simplifying system design and potentially reducing overall system costs. This integrated approach could be a game-changer in the industrial sector, where streamlined, efficient systems are highly valued.

The Ryzen Embedded 7000 Series processors are versatile and adaptable, supporting both Windows Server and Linux Ubuntu, in addition to Windows 10 and Windows 11. This broad compatibility makes these processors a flexible solution for a wide range of applications and environments.

Zen 4 architecture

The processors are designed with up to 12 high-performance “Zen 4” CPU cores, offering ease of integration for system designers. This high core count, combined with the powerful “Zen 4” architecture, can provide exceptional processing power for demanding applications. This level of performance could be particularly beneficial in applications such as advanced robotics, instrumentation design, power control, and video surveillance, among others.

Several industry leaders, including Advantech, ASRock Industrial, and DFI, have expressed support for the new processors. This endorsement highlights the potential of the Ryzen Embedded 7000 Series processors to enhance performance in various industrial applications.

The Ryzen Embedded 7000 Series processors come packed with features. They boast up to 12 high-performance CPU cores, integrated Radeon RNDA2 graphics, and an AM5 socket. They also offer a TDP range from 65 W to 105 W, support for Dual-Channel ECC DDR5 memory at speeds up to 5200MT/s, and up to 28 lanes of PCIe 5 connectivity on-chip. These features make them a formidable option for high-performance industrial applications.

The announcement of the Ryzen Embedded 7000 Series processors marks a significant advancement in the embedded market. With their cutting-edge technology and impressive feature set, these processors are poised to bring new levels of performance and functionality to a wide range of industrial applications.

Source : AMD

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How to build AI powered apps with no-code using Dify AI tool

How to build artificial intelligence AI powered apps with no-code

If you have an idea for an artificial intelligent (AI) powered application but don’t have any coding skills. You might be pleased to know that you can use a variety of different online services that allow you to integrate the power of AI into your app without the need to write a single line of code. One such service is Dify. This guide will provide a quick overview of how you can build AI powered applications with no code.

Dify offers a quick and efficient way to build a Web App, with the generated frontend code capable of being hosted on Dify itself. For developers looking to further expand on their Web App, templates can be obtained from GitHub and deployed anywhere, including Vercel or their own server. Alternatively, developers can build their own Web frontend, mobile App, and more, based on the WebAPI. This process saves the backend development work, allowing developers to focus on other aspects of their application.

Build AI apps with no-code

At its core, Dify is all about creating, configuring, and improving your application in a visual interface. This is part of a process known as LLMOps, which involves logic design, context enhancement, data preparation, and other tasks that can be challenging without the right tools. The platform allows for the continuous improvement lifecycle of application development based on large language models, which can be trained to provide correct answers based on your content, improve AI’s accuracy and narrative style, and even download a subtitle from YouTube as context.

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One of the standout features of Dify is its ability to use both open-source and closed-source models for AI app creation. This was not always the case, as users were previously restricted to using ChatGPT models. However, Dify now supports a variety of models, including Llama and Anthropic. In addition, the platform also offers support for Hugging Face embedded models, dataset services, and prompt engineering integration. These features and plugins open up a world of possibilities for AI app development.

Dify is designed with ease of use and efficiency in mind. The platform allows for the creation of AI-powered applications within minutes, which can be quickly deployed. This speed and efficiency are complemented by a range of features such as Storyteller Bots, an SQL generator, a code converter, and a text generator. These features save backend coding effort and increase productivity, making Dify an invaluable tool for developers.

Beyond these features, Dify also allows for the creation of websites supporting form mode and chat conversation modes with a single API. This further simplifies the development process, allowing developers to focus on creating engaging and interactive applications. The platform also offers a tutorial on how to create an app using Dify, including setting up the model provider and configuring plugins.

Dify can be accessed through the cloud or installed using Docker, providing flexibility for its users. The platform supports different large language models, including L chain, Hugging Face, and Replicate. Registered Dify Cloud users are even provided with free resources, including 200 free OpenAI queries, visual registration, text embeddings, and API-based services.

Build AI apps with no-code

Another unique feature of Dify is the ability to create and train apps based on personal data sets. This allows developers to customize their applications to their specific needs and preferences. Users can also configure and select the models they want to use, including GPT-4 and GPT 3.5 Turbo. The platform also supports the integration of different plugins, APIs, and languages, further expanding its versatility.

Dify is a powerful and versatile AI tool that simplifies the process of building and managing AI native apps. With its range of features and support for a variety of large language models, Dify is poised to become an essential tool in the arsenal of any developer looking to leverage the power of AI in their applications. For more advanced features and capabilities, users are recommended to check out the AI tool’s documentation.

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CM4 Nano Raspberry Pi powered industrial SBC mini PC

Compute Module 4 CM4 Nano industrial mini PC

The CM4 Nano, an industrial-grade embedded computer, with a robust design and advanced features. Offering a ruggedised alternative to the Raspberry Pi 4, making it an excellent choice for a variety of industrial applications. At the heart of the CM4 Nano is the Raspberry Pi Compute Module 4 (CM4), a compact and popular choice for embedded applications.

This module is used in a multitude of commercial devices, highlighting its reliability and versatility. The CM4 Nano takes this module and enhances it with a carrier board, equipped with multiple ports and connectors, all housed within a robust metal case with a built-in heatsink. This aluminium alloy base not only provides protection but also helps to manage heat dissipation, a critical aspect for maintaining optimal performance.

One of the primary challenges in many industrial applications is managing the heat generated by the CPU, wireless module, and PMU. The CM4 Nano addresses this issue head-on with its robust design and built-in heatsink. This feature enhances the reliability of wireless communication, ensuring that the system operates smoothly even in demanding environments.

CM4 Nano

The CM4 Nano is not just about robustness and reliability; it also offers flexibility and customization. The system can be configured with a choice of 1GB, 2GB, 4GB, or 8GB RAM and 8GB, 16GB, or 32GB eMMC storage. This allows users to tailor the system to their exact needs. Additionally, the CM4 Nano offers optional 2.4/5.8G dual-band WiFi and Bluetooth capabilities, further enhancing its versatility.

Data storage is another critical aspect of industrial applications. The CM4 Nano supports large data storage capacity through its eMMC and SD card capabilities. This feature, coupled with the system’s configurable specifications, makes the CM4 Nano an excellent choice for data-intensive applications.

The CM4 Nano also includes an alarm buzzer and a battery-powered real-time clock, features that can be extremely useful in various industrial settings. Moreover, it supports a Gigabit Ethernet port with Power over Ethernet (PoE) function, allowing for simplified wiring and increased flexibility.

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In terms of compatibility, the CM4 Nano is designed to work seamlessly with the Raspberry Pi 4 Model B’s CSI and DSI interfaces. It also supports the official Raspberry Pi PoE HAT, Raspberry Pi official 8M and 12M Pixel HQ cameras, and Raspberry Pi official 7″ touch display. These features make the CM4 Nano a versatile and adaptable solution for a range of applications.

Industrial SBC

The CM4 Nano is not just about performance and compatibility; it also focuses on convenience and ease of use. It provides multiple USB interfaces, including two USB 3.0 channels and one USB 2.0 channel, which can be used for system image updates. The system supports 8V~18V DC power input and provides 5V@2A and [email protected] output power, supporting high-power expansion modules.

The design of the CM4 Nano is also worth noting. With dimensions of 95 × 58mm and a heatsink measuring 103*62mm*5mm, the system is slightly larger than the Pi4 Model B. However, this size allows for excellent cooling performance, ensuring that the system can operate reliably even in high-temperature environments. The CM4 Nano can function at ambient temperatures ranging from -25 to 60°C, further highlighting its suitability for industrial applications.

Finally, the CM4 Nano offers convenient installation options, including DIN rail mounting. It also has four M2.5 screw holes at the bottom of the case for easy installation on other equipment.

The CM4 Nano is a powerful, flexible, and robust solution for industrial applications. With its advanced features, configurable specifications, and robust design, it offers a ruggedised alternative to the Raspberry Pi 4, making it an excellent choice for a variety of industrial settings.

Source : EDATEC

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Using Arduino and Elasticsearch to build search powered projects

Arduino and Elasticsearch

The integration of Elasticsearch with Arduino for IoT applications is a significant development in the field of technology. This partnership between Elastic, a leading platform for search-powered solutions, and Arduino, a popular open-source electronics platform, has opened up new possibilities for IoT applications. The collaboration has resulted in the development of an Elasticsearch client library that runs on Arduino modules, enabling direct communication with an Elasticsearch server from an Arduino board.

The partnership between Arduino and Elastic has been instrumental in the development of this new technology. The collaboration has led to the creation of a simple Elasticsearch client library that can run on Arduino modules. This library allows for direct communication with an Elasticsearch server from an Arduino board, thus simplifying the process of data transmission and storage.

IoT applications

The potential of this technology was tested by developing an IoT device that sends temperature data to Elastic Cloud every five minutes. This innovative application of the technology could lead to a solution that provides the current average temperature from all sensors within a 5 km radius, thanks to Elasticsearch’s geo features. This geolocation-based temperature reporting could be particularly useful in industries such as agriculture, where real-time temperature data can be crucial.

What is Elasticsearch?

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Arduino Pro’s industrial-grade offerings, including Cloud services, software libraries, and a variety of components, are compatible with the entire Arduino ecosystem. This compatibility ensures that the integration of Elasticsearch with Arduino can be seamlessly implemented across a wide range of IoT applications.

A use case was designed for a company managing multiple IoT devices in Italy, with each device sending sensor data to Elastic Cloud. The company can manage any scale of IoT devices without needing a dedicated infrastructure, and can adjust internal parameters of each device based on the average temperature of neighboring devices within a 100 km range. This use case demonstrates the scalability and flexibility of the integrated system.

Search powered projects

Elasticsearch provides multiple feedback using search features like filtering, aggregation, multi-match, geospatial, vector search (kNN), semantic search, and machine learning. These features can be used to analyze and interpret the data collected from the IoT devices, providing valuable insights and facilitating decision-making.

Kibana, the UI available in Elastic Cloud, allows for the creation of a dashboard to monitor data from all devices, including geo-data representation on a map. This visualization tool can be particularly useful in monitoring and managing multiple IoT devices.

Setting up Elastic Cloud is a straightforward process. Users need to create an account, choose the size of the Elasticsearch instances they want to use, and generate an API key of Elasticsearch. An index needs to be created to store data from the Arduino boards, including temperature values, device position using geo-location, a device identifier name, and a timestamp. This preparation of the Elasticsearch index for data storage is a crucial step in the integration process.

The integration of Elasticsearch with Arduino for IoT applications is a significant development that offers numerous benefits. The partnership between Arduino and Elastic, the development of the Elasticsearch client library for Arduino modules, and the potential for geolocation-based temperature reporting are just a few of the many exciting aspects of this integration. With the use of Elasticsearch’s search features for feedback and Kibana for data monitoring and visualization, this integration promises to revolutionize the way we manage and utilize IoT devices.

Source &  Image Source :  AB

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