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How to use ChatGPT-4 and knowledge graphs for improved brainstorming results

How to use ChatGPT-4 and knowledge graphs for brainstorm ideas

Imagine you’re deep in a brainstorming session, trying to make sense of a complicated subject matter. Traditional approaches two brainstorming might leave you feeling overwhelmed and unsatisfied with the depth of your exploration. But what if you could transform your brainstorming experience using the latest technological advancements in AI such as ChatGPT-4 and knowledge graphs?

Knowledge graphs and GPT-4, offer a powerful combination that’s reshaping how we approach idea generation and problem-solving. At the forefront of this transformation is the InfraNodus app, a tool designed to visually map out your thoughts and reveal the connections between different concepts. This visual approach helps you see patterns and relationships that might have been hidden before, making it easier to synthesize a wide range of ideas and pinpoint areas that need more attention.

The real magic happens when you combine this with GPT-4, the latest and most sophisticated language model available. GPT-4 can generate insights and suggestions related to the topics you’re exploring. By integrating these AI-driven insights with your knowledge graph, you create a dynamic, interactive landscape of ideas that deepens your understanding of the subject.

Improve your brainstorming techniques using GPT 4 and InfraNodus

The process is iterative. You start by focusing on a specific aspect of your topic and ask GPT-4 to generate relevant content. Then, you incorporate these ideas into your knowledge graph, which evolves with each iteration. This cycle of creation and refinement continues until you’ve examined the topic from every possible angle, ensuring a well-rounded and comprehensive brainstorming session.

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Take heart rate variability as an example. Using the InfraNodus app, you can create a visual representation of the key issues related to this topic. As you feed in insights from GPT-4, your knowledge graph expands, shedding light on the connections between physiological factors, psychological stress, and their potential impacts on health. This iterative and visual approach gives you a nuanced understanding of how heart rate variability affects health.

An essential aspect of this strategy is managing the AI-generated content. While GPT-4 can provide a wealth of information, it’s crucial to guide your brainstorming to stay innovative and goal-oriented. By carefully selecting and refining GPT-4’s suggestions, you ensure that the final output is unique and relevant to your project.

Brainstorming with Knowledge Graphs

Knowledge graphs also play a vital role in maintaining the diversity of your brainstorming sessions. They help you track different themes and ensure that your exploration is comprehensive. With a knowledge graph, you can quickly identify which areas have been thoroughly investigated and which require more attention, promoting a balanced and in-depth session.

The combination of knowledge graphs and GPT-4, as exemplified by the InfraNodus app, an AI-powered network analysis and visualization platform that can be used to better understand the relations within your data. Offering a powerful framework for enhancing brainstorming sessions by visualizing information, connecting ideas, and refining your thoughts through an iterative process.  Enabling you to achieve a deep understanding of any subject. Whether you’re delving into heart rate variability or another complex topic, this approach ensures that your brainstorming is effective, unique, and insightful.

Understanding the Basics

  • Knowledge Graphs:
    • Visual representations that map out thoughts, showing connections between different concepts. They help identify patterns, relationships, and areas needing further exploration.
  • GPT-4 Integration:
    • A sophisticated AI language model capable of generating insights and suggestions on a wide array of topics. It enriches knowledge graphs with AI-driven insights.

Starting Your Brainstorming Session

  1. Choose a Focal Topic:
    • Begin with a specific aspect of your main subject to concentrate your brainstorming efforts effectively.
  2. Initial Knowledge Graph Creation:
    • Use tools like InfraNodus to create a visual map of your initial ideas and questions related to your topic.
  3. Engage GPT-4 for Content Generation:
    • Prompt GPT-4 to provide insights, explanations, and suggestions related to your topic. This step is crucial for uncovering new angles and deepening your understanding.

Iterative Process for Enhanced Exploration

  1. Incorporate AI Insights into Knowledge Graph:
    • Add GPT-4-generated content to your knowledge graph, allowing for a dynamic and evolving exploration of the topic.
  2. Cycle of Creation and Refinement:
    • Continuously refine your knowledge graph with new insights from GPT-4, ensuring a thorough examination from every possible angle.
  3. Managing AI-Generated Content:
    • Carefully select which AI suggestions to incorporate, ensuring they are innovative and goal-oriented to maintain the uniqueness and relevance of your brainstorming session.

Maximizing the Benefits of Your Session

  • Diversity and Comprehensiveness:
    • Knowledge graphs track different themes and ensure exploration is comprehensive, identifying well-explored areas and those requiring more attention.
  • Balanced and In-Depth Exploration:
    • The visual and iterative approach with GPT-4 integration ensures a balanced session, offering a nuanced understanding of complex subjects.

Advanced Tips for Utilizing Knowledge Graphs and GPT-4

  • Guiding GPT-4 with Specific Prompts:
    • Tailor your prompts to explore specific facets or connections within your topic, leveraging GPT-4’s ability to generate detailed and relevant content.
  • Visualizing Connections and Patterns:
    • Use the knowledge graph to visualize and analyze the relationships between different concepts, which can reveal hidden patterns or overlooked aspects of your topic.
  • Iterative Refinement for Depth:
    • Repeatedly refine your knowledge graph with new insights, focusing on depth and breadth of understanding, to ensure a comprehensive exploration.
  • Embrace Flexibility and Creativity:
    • The method is highly adaptable to various fields or subjects, encouraging creative problem-solving and innovative thinking.
  • Harnessing AI to Complement Human Intelligence:
    • View GPT-4 and knowledge graphs as tools to augment, not replace, human creativity and analytical skills.
  • Looking Forward:
    • Continuously explore new capabilities of AI and data visualization technologies to stay at the forefront of innovation and creativity.

This innovative technique is not just about generating more ideas; it’s about generating better ideas. It’s about making connections that you might not have seen before and pushing the boundaries of your creative potential. With the help of knowledge graphs and GPT-4, you can navigate through the maze of information with precision and come out with a clear, well-informed perspective.

The beauty of this approach lies in its flexibility. It can be applied to virtually any field or subject matter, from scientific research to business strategy, from healthcare to technology. It’s about harnessing the power of AI to complement human intelligence, not replace it. By working in tandem with these tools, you can elevate your brainstorming sessions to a level that was previously unattainable.

As we continue to explore the capabilities of AI and data visualization, it’s clear that the potential for innovation is boundless. The integration of knowledge graphs and GPT-4 is just one example of how technology can be leveraged to unlock our creative potential and drive progress. It’s an exciting time to be a thinker, a creator, or an innovator, as the tools at our disposal become more sophisticated and powerful.

So, the next time you find yourself in a brainstorming session, grappling with a complex issue, remember that there are new ways to approach these challenges. Embrace the power of knowledge graphs and GPT-4, and watch as your ideas take on new life, depth, and clarity. With these tools, the possibilities are endless, and the future of brainstorming looks brighter than ever.

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Problems with the GPT Store and what needs to be improved

Problems with the GPT Store and what needs to be improved

OpenAI recently launched their new and highly anticipated ChatGPT marketplace in the form of the GPT Store. It is still early days for the new marketplace which has been created to allow the millions of ChatGPT users to find custom GPT AI models that have been created by businesses and individuals to enhance their productivity and results when using the ChatGPT AI. However in its first iteration there are plenty of areas that can be improved

The GPT Store has been designed to be a central spot for innovative AI tools known as Generative Pre-trained Transformers. While the excitement around its launch was huge, the ChatGPT marketplace is facing some hurdles that need to be overcome to truly harness its potential. Let’s delve into the key areas where the GPT Store could improve to enhance both the user and creator experience with the help of Corbin AI.

One of the main issues the GPT Store is grappling with is how it handles visibility for the products it hosts. Right now, the way the platform is set up, it tends to highlight certain GPTs, often leaving new and potentially groundbreaking tools in the shadows. This can hinder the growth of innovative products and prevent them from getting the attention they deserve. If we look at how TikTok operates, for example, we see a platform that gives every piece of content a chance to shine. The GPT Store could take a leaf out of TikTok’s book by implementing features that bring new GPTs into the limelight or by creating a feed that showcases a variety of tools. Such changes would open up opportunities for all creators, regardless of their current standing on the platform.

What needs to be improved on the GPT Store?

Another area that requires enhancement is the analytics available to creators. At present, the data provided is quite basic and doesn’t offer deep insights into how users interact with the GPTs. Creators need a more sophisticated analytics system that can tell them how often users come back, how long they stay, and what they do with the tools. With better analytics, creators could refine their GPTs to better match what users are looking for, which could lead to more success for their products. For insights on improving interactions with AI, creators might find prompt engineering tips useful.

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The user interface (UI) of the GPT Store is also in need of some fine-tuning. A UI that’s easier to navigate and more intuitive would make a world of difference for users. By looking at how platforms like Shopify or the iOS App Store are designed—with their easy search functions and encouragement of exploration—the GPT Store could make it much easier for users to find the tools they’re after and stumble upon new ones that could be useful to them.

GPT Store Pros vs Cons

Pros of the OpenAI GPT Store:

  • Innovation and Potential: The GPT Store represents an innovative platform offering a range of GPT-based applications. It opens opportunities for both users and developers to explore novel AI applications.
  • Free Accessible Tools: Some GBTs (GPT-based tools) are available for free, providing users with valuable resources without cost.
  • Early Success Stories: Certain early adopters, such as Scholar AI and AI PDF, have successfully developed and launched popular tools, demonstrating the store’s potential for creating impactful applications.
  • Foundation for Growth: Being in the early stages, the GPT Store has a significant potential for growth and improvement, which could lead to more comprehensive and user-friendly experiences.

Cons of the OpenAI GPT Store:

  • Limited Organic Discovery: The store currently lacks a mechanism for organically discovering new GPTs. Users are primarily exposed to tools featured on the main page, limiting visibility for new or lesser-known developers.
  • Restricted Search Functionality: The search feature is described as limited, making it challenging for users to find specific GPTs or explore the store beyond the main page offerings.
  • Lack of Analytics for Developers: Developers currently have minimal analytics available (only 10K chats), limiting their ability to understand user engagement and improve their tools.
  • Visibility Challenges for New Creators: New creators face difficulties in gaining visibility due to the store’s layout and discovery mechanisms, which favor established or prominently featured GPTs.
  • Uncertainty About Future Updates: While there is hope for improvements, there’s a lack of clear communication about upcoming updates or changes to address the highlighted issues.

Possible areas of improvement for the ChatGPT store

  • Implement a more robust discovery mechanism, where new and lesser-known GPTs can gain visibility.
  • Enhance the search functionality to allow more comprehensive exploration of the store.
  • Provide detailed analytics for developers to better understand user engagement and optimize their GPTs.
  • Create sections for newly added GPTs or a live feed feature to showcase a variety of tools.
  • Regular updates and clear communication from OpenAI regarding future enhancements and changes to the store.

Despite these challenges, the GPT Store has already shown that it has a lot to offer to entrepreneurs who are using its tools to build their businesses. To keep this momentum going and to support further business development, the platform must address the issues we’ve talked about. A stronger ecosystem on the GPT Store could help entrepreneurs not just find the right GPT for their needs but also gain valuable insights on how to tailor these tools to their specific business goals. For those looking to create custom solutions, custom GPTs for business could be a starting point.

The GPT Store is on the brink of making a significant impact on the AI industry and the business sector. By focusing on improving how products are discovered, providing in-depth analytics for creators, refining the user interface, and nurturing business growth, the platform has the potential to become a flourishing and fair marketplace. For this to happen, it’s essential that both users and creators get involved. By engaging with the platform, sharing your thoughts, and contributing your ideas, you can play a role in the evolution of the GPT Store. It’s through this collective effort that we can build a marketplace that doesn’t just meet our current needs but also opens up new possibilities that go beyond what we’ve imagined. For those interested in the future of these tools, the anticipated arrival of ChatGPT-5 in 2024 is something to keep an eye on.

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Apple M3 iMac teardown by iFixit reveals improved reparability

Apple M3 iMac teardown by iFixit

The recently launched Apple M3 iMac all-in-one desktop computer not only maintains the Apple’s reputation for sleek aesthetics but also introduces improvements that make it easier to repair. For those who appreciate both form and function, this iMac might be a sign of good things to come from Apple in terms of repairability. Check out the Apple M3 iMac teardown by iFixit video below to learn more.

One of the most striking features of the iMac is its ultra-thin design. This is made possible by an external power supply, which cleverly doubles as an ethernet port hub. This not only contributes to the iMac’s streamlined look but also simplifies the process of replacing the power supply, which is a plus for repairability. The inclusion of the ethernet port in this external unit ensures that the iMac doesn’t sacrifice connectivity for style.

When it comes to taking the iMac apart, a set of specialized tools is required to deal with the foam adhesive that secures the components. Although this might sound daunting, once inside, the layout is quite accessible. The cables can be disconnected with relative ease, which is encouraging for those who might want to perform maintenance or upgrades.

Apple M3 iMac teardown

The process of removing the logic board shield is a bit delicate, involving careful unscrewing and lifting to reveal the iMac’s essential circuitry. This is a testament to Apple’s thoughtful design, which allows access to key components without unnecessary complications.

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For those who wish to customize their iMac’s stand, there is an option to do so. However, it’s worth noting that changing from the default stand to a VESA mount requires taking apart some of the iMac. This shows Apple’s willingness to allow for customization, even if it means a bit more work for the user.

Throughout the teardown, it’s evident that attention to detail is crucial. Small cables, screws, and brackets are vital to the iMac’s operation, and careful handling of these parts is important for the computer’s durability.

An interesting aspect of the iMac’s design is the integration of the M3 chip, storage, RAM, and power port onto a single board. This could potentially make future repairs simpler. Additionally, the iMac has modular ports that contribute to its sleek design while also being practical for maintenance purposes.

The battery has been redesigned to be more repair-friendly, now featuring a single battery unit that is easier to access. This is a positive development for both professional technicians and users with the right knowledge.

The adhesive used in the assembly of the iMac has received praise for its repair-friendly properties. Unlike other adhesives that can make reassembly difficult, the one used in the iMac allows the device to be put back together after repairs, which can prolong its lifespan.

The Apple M3 iMac represents a device that successfully combines visual appeal with improved repairability. While there are some challenges, such as the need for specialized tools and the disassembly required for stand adjustments, the progress made in the internal design and the use of a forgiving adhesive are steps in the right direction. This new iMac is a promising example of how future desktops can balance aesthetics with practicality, meeting the needs for both visual appeal and ease of maintenance.

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Creating custom GPTs with OAuth Authentication for improved security

Creating custom GPTs with OAuth Authentication for improved securityCreating custom GPTs with OAuth Authentication for improved security

Designing custom Generative Pre-trained Transformers (GPTs) and adding OAuth Authentication is a big step for anyone who want to improve their custom GPTs. This integration makes it possible to create smarter AI tools that can use data in a way that is both precise and tailored to individual needs. To integrate the technology successfully in to your new custom GPT, you must understand Open Authorization (OAuth) and how to use cloud services effectively.

If you have not come across OAuth Authentication it is a secure method used by applications to access your online accounts without giving them your password. Think of it like a digital key. When you use an app and it needs to access something like your email or social media, OAuth acts as a go-between. It tells the service, like Facebook or Google, that an app wants permission to access some of your information. The service then asks if you’re okay with this. If you say yes, OAuth gives the app a special token, like a temporary key, which it can use to access your information.

This process is safer than giving out your password because the app never sees your actual password. Also, the token given to the app has limited access. For example, if a photo app needs to access your cloud storage, OAuth will make sure it can only reach your photos, not your entire cloud account. You can also take back this token anytime, stopping the app’s access to your account.

OAuth is widely used because it’s secure and user-friendly. It helps keep your online accounts safe while letting you use different apps and services easily. For developers, using OAuth means they don’t have to worry about storing user passwords, which reduces security risks. For users, it means easier access to various online services while keeping their passwords and data secure.

An example of OAuth Authentication when creating a Google Calendar GPT

Corbin AI has created a great example of implementing OAuth Authentication with a newly created custom GPT.

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The process starts with setting up OAuth in the Google Cloud environment. You need to make a project in Google Cloud Console and set up the OAuth consent screen. This screen is what users see when they let the app access their Google Calendar. Choosing the right OAuth scopes, which decide the app’s access level, is crucial for user trust and security.

After setting up the consent screen, the next step is to turn on the Google Calendar API for the project. This step requires activating the API and getting the necessary credentials for the GPTs to use it. The OAuth scopes chosen earlier will now define what the GPTs can do with the user’s calendar data. You need to make sure these scopes match the GPTs’ intended functions.

Testing your custom GPT

Before launching an app, it’s essential to test the OAuth setup thoroughly. You should use test users to check that everything works fine. For apps that ask for access to sensitive data, a review by Google is needed. This review is important for following Google’s rules and protecting user data. During setup, developers might face OAuth errors, like wrong credentials or mismatched scopes. It’s important to check error messages, confirm credentials, and ensure scopes are correct.

Usage limits

You also have to watch the limits on how much they can use the API, set by Google Cloud. Going over these limits can cause problems and extra costs. Managing how the app uses the API, like using caching or batch processing, can help. It’s also important to think about the costs of using Google Cloud services.

Fine tuning

When using GPTs that deal with user data, keeping this data safe and private is very important. You should follow laws and best practices for data security, like encrypting data and having strict access controls. As the integration finishes, you should fine-tune the OAuth screen and get the app ready for real-world use. Setting up good monitoring and alert systems is key to keep an eye on how the app is doing and fix any issues fast.

Integrating GPTs with Google Calendar API through OAuth needs careful planning and attention to every detail. By following these steps, you can ensure secure API access, manage costs well, and keep user data safe. Enabling you to make your custom GPTs more effective, offering users a more advanced and useful AI tool, which hopefully you will be able to sell on the new OpenAI GPT store very soon.

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WhatsApp gets improved security for calls

WhatsApp security

WhatsApp has announced that it is adding in some n ew improved security features for calls on its platform, you can now hide your IP address during calls with the new Protect IP Address in Calls feature.

There is now also a new Silence Unknow Callers feature that lets you stop unknown calls on your device, this is a useful feature that can help cut down on scam and spam calls on WhatsApp.

Privacy and security are at the core of WhatsApp. In addition to protecting personal messages with end-to-end encryption, WhatsApp empowers users to control their own privacy settings: from what you share, how you show up online, or who can reach out to you or add you to groups.

Across the software industry, calling products are an attractive vector for cyber attacks. Popular software projects in this space, such as WebRTC and PJSIP, have documented numerous vulnerabilities. Because of the complexity and large number of protocols involved, attackers have many opportunities to find a bug to exploit. Furthermore, calling software often automatically processes incoming packets from callers to optimize call setup and improve performance. This means calling vulnerabilities can often lead to “zero-click” attacks; the victim may not need to even accept the call for the attack to succeed.

You can find out more information about all of these new security features for WhatsApp over at the company’s website at the link below, these features are optional and can be turned on and off on your device.

Source WhatsApp

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New emotional AI prompting method generates improved results

New emotional AI prompting method provides improved results

It may seem strange but apparently if you apply a little emotional pressure or stimuli to AI models they will produce better results. A new research paper named “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli” looks further into this unique method of using emotional stimuli with AI models. Presenting a new method for boosting the performance of Large Language Models (LLMs) by adding emotional stimuli. This technique, referred to as “emotion prompt,” has shown significant improvements in LLM performance, as demonstrated by results from the Instruction Induction dataset and the Big Bench benchmark, two respected standards in the field.

In simple terms, emotion prompts are cleverly added to the end of existing prompts. This straightforward yet powerful technique has been shown to produce high-quality responses, which humans tend to prefer. The paper’s authors have categorized emotion prompts into three psychological theories: self-monitoring, social cognitive theory, and cognitive emotion regulation. Together, these theories provide a comprehensive understanding of how emotional stimuli can be strategically used to enhance AI performance.

emotional AI prompting examples

The image illustrates the impact of emotionally charged language in prompts on the performance of various language models. It shows that adding an emotional component to the prompt (“This is very important to my career”) can improve the model’s performance in a task. This is likely due to the added urgency and specificity, which might help the model prioritize and contextualize the request more effectively.

AI Emotional Prompting explained

In each case, the emotional prompting serves to anchor the AI’s responses not just in the literal meaning of the words, but also in the emotional context and significance behind them, potentially leading to more effective and human-like interactions. Watch the video created below by the Prompt Engineering channel to learn more about the paper and this new way of using emotional pressure to improve your AI results.

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These theoretical frameworks suggest that when language models are prompted with emotional stimuli, they are potentially more effective in their tasks, possibly because the emotional context helps to align the model’s “response” with human-like empathy and understanding.

Using positive language, the paper posits that words like confidence, sure, success, and achievement could be integrated into prompts to enhance the quality of responses. For example:

  • For a productivity assistant, one could say, “I’m confident that with your assistance, we can plan this event to be a great success.”
  • In an educational setting, a prompt might include, “I’m sure that with this explanation, I’ll achieve a better understanding of the concept.”

The key is the integration of emotional cues relevant to the task at hand and the specific capabilities of the model, suggesting that larger models with more capacity may integrate these emotional stimuli more effectively into their responses.

When applying this to various tasks, one should also consider the ethical implications and the importance of maintaining sincerity and avoiding manipulation. The emotional stimuli should be used to improve engagement and understanding, not to deceive or falsely manipulate the user’s emotions.

Examples of  AI emotional prompting

  • For Clarification: “I trust you’ll provide the clarity I need to move forward with this.”
  • For Detailed Explanations: “Your thorough explanation will be a cornerstone of my understanding.”
  • For Creativity Tasks: “I’m excited to see the original ideas you’ll come up with.”
  • For Problem-Solving: “I believe in your ability to help find a great solution to this challenge.”
  • For Educational Content: “Your insight could really enhance my learning journey.”
  • For Planning: “I’m confident that with your help, we can create an effective plan.”
  • For Emotional Support: “Your understanding words could really make a difference to my day.”
  • For Encouragement: “Your encouragement would mean a lot to me as I tackle this task.”
  • For Content Creation: “I’m eager to see the engaging content we can generate together.”
  • For Decision Making: “Your guidance is crucial to making a well-informed decision.”
  • For Personal Goals: “I’m relying on your support to help me reach my goal.”
  • For Technical Support: “I trust your expertise to help resolve this technical issue.”
  • For Productivity: “Your assistance is key to making this a productive session.”
  • For Reflective Responses: “Your perspective could provide valuable insights into this matter.”

The paper also highlights the power of positive words like confidence, sure, success, and achievement when used in emotion prompts. When these words are included in the AI models’ training phase, they can significantly improve their performance. The authors suggest that combining emotion prompts from different psychological theories could potentially boost performance even more.

Cautionary Warning

However, the authors warn that the selection of emotional stimuli should be carefully considered based on the specific task. The paper notes that the effect of emotional stimuli isn’t the same across all LLMs, with larger models potentially benefiting more from emotion prompts. This suggests that the success of emotional stimuli may depend on the AI model’s complexity and capacity.

To demonstrate the practical use of emotion prompts, the paper includes an example of their use in evaluating a system by the Lama Index team. This real-world example shows how emotion prompts can be effectively used in assessing AI performance. The paper’s findings suggest that emotional stimuli can play a crucial role in improving the performance of LLMs. This discovery opens the door for new AI training techniques, with the potential to significantly enhance the performance of AI models across various applications.

The research paper “Large Language Models Understand and Can Be Enhanced by Emotional Stimuli” presents a compelling case for including emotional stimuli in AI training. The authors’ innovative “emotion prompt” approach has shown significant improvements in LLM performance, suggesting that emotional stimuli could be a valuable tool in the training and performance enhancement of AI models.

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The best reading light has now improved Bowio 2.0

The best reading light has now improved Bowio 2

Once trying to find the best reading light that gave plenty of illumination and allows you to turn the pages with ease, would have been a difficult job. However since the launch of the Bowio reading light or other reading lights look inferior. Now the development team that brought the original has launched a second-generation version of in my opinion the best reading light at the in the aptly named Bowio 2.0.

The Bowio 2.0’s design is not just aesthetically pleasing, but it’s also functional. One of its standout features is the ability to control the brightness by touch. This ensures an uninterrupted, tailored reading session, allowing readers to adjust the light to their preference without having to pause their reading.

Bowio 2 reading light

This feature, combined with the light’s uniform illumination, ensures that your reading session doesn’t disturb sleep or others around you. This makes the Bowio 2.0 an ideal choice for personal reading setups, or even as a thoughtful gift for book lovers. Backer early bird pledges are now available for the ground-breaking project from roughly $59 or £49 (depending on current exchange rates).

Bowio 2 reading light

In addition to its functional benefits, the Bowio 2.0 is also mindful of the environment. Its packaging is made from 100% recycled materials and premium 380gsm FSC-certified Kraft board. This environmentally friendly approach is a reflection of the brand’s commitment to sustainability, ensuring that readers can enjoy their favorite books while minimizing their environmental impact.

The new Bowio 2.0 doesn’t just stop at improved lighting and environmentally friendly packaging. It also boasts a richer color palette, an intuitive color-matching dial, and premium leathers, all in a sleeker, lighter form. These upgrades are powered by entirely upgraded electronics, demonstrating the brand’s commitment to continuous improvement and innovation.

Bowio 2 reading light features

But the Bowio brand isn’t just stopping at reading lights. They’re also expanding into gaming with the Bowio GameLight. This new product is designed for Game Masters and is compatible with both carton and wooden screens. The GameLight enhances visibility during gameplay without disrupting the ambient dimness, casting a gentle glow over game components. This reduces fatigue during long gaming sessions, making the gaming experience as comfortable and enjoyable as possible.

Assuming that the Bowio 2.0 funding campaign successfully raises its required pledge goal and manufacturing progresses smoothly, worldwide shipping is expected to take place sometime around July 2024. To learn more about the Bowio 2.0 the best reading light project observe the promotional video below.

The best reading light

The Bowio 2.0 stands as a testament to the brand’s commitment to creating a superior reading environment. Its unique design, brightness control, uniform illumination, and environmentally friendly packaging make it a standout in the reading light market. With the addition of the GameLight, Bowio is expanding its reach, creating innovative solutions for both readers and gamers alike. Whether you’re a book lover or a gaming enthusiast, Bowio’s products promise to enhance your experience with thoughtful design and innovative features.

For a complete list of all available project pledges, stretch goals, extra media and full specifications for the the best reading light, jump over to the official Bowio 2.0 crowd funding campaign page by following 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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Raspberry Pi 5 features improved image processing

Raspberry Pi 5 image processing features

The amazing development team over at the Raspberry Pi Foundation have released a new video discussing the image processing power of its latest mini PC the Raspberry Pi 5. Currently available to preorder the latest addition to the range brings with it more power and features especially in terms of its image processing capabilities.

The Raspberry Pi 5 has introduced significant changes in how it handles data from the camera compared to its predecessors. This overview guide provides more information and details of these improvements, focusing on the features and capabilities of the Raspberry Pi 5’s image processing. As well as an interview with the development team responsible for creating the Pi 5 in a video embedded below.

At the heart of the Raspberry Pi 5’s image processing capabilities is the Image Signal Processor (ISP), a feature that has undergone considerable upgrades. The ISP is located on the Raspberry Pi chip and is responsible for processing the raw data from the camera sensor. This raw pixel data, which is initially quite raw and unrefined, is processed into a high-quality output image. Notably, the ISP does not deal with image encoding or JPEGs; its primary role is processing the raw data into a visually pleasing image.

Raspberry Pi 5

The Raspberry Pi 5’s ISP is clocked higher and runs at two pixels per clock. This higher throughput ISP allows for higher resolution and frame rates, significantly enhancing the Raspberry Pi 5’s imaging capabilities. The introduction of this feature is a testament to the strides Raspberry Pi has made in improving the image processing capabilities of its miniature computers.

In addition to the improved ISP, the Raspberry Pi 5 has introduced temporal denoising. This feature averages frames where they are the same, reducing noise and improving video quality. This is a significant advancement, especially for applications that require high-quality video output.

Improving the Raspberry Pi image processing process

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The Raspberry Pi 5 also introduces High Dynamic Range (HDR) imaging. This feature combines several images to avoid highlights blowing out and dark areas being too dark. HDR imaging is a crucial feature in modern imaging technology, and its introduction in the Raspberry Pi 5 underscores the device’s advanced capabilities.

One notable aspect of the Raspberry Pi 5’s ISP is that it was developed at Raspberry Pi and is their platform. This means that it allows for future development and improvements, promising even better image processing capabilities in the future.

The Raspberry Pi 5’s specifications further underscore its advanced image processing capabilities. The device boasts a Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, a VideoCore VII GPU that supports OpenGL ES 3.1, Vulkan 1.2, and dual 4Kp60 HDMI display output with HDR support. It also comes with LPDDR4X-4267 SDRAM, dual-band 802.11ac Wi-Fi, Bluetooth 5.0 / Bluetooth Low Energy (BLE), and 2 × 4-lane MIPI camera/display transceivers.

The Raspberry Pi 5 represents a significant step forward in terms of its imaging capabilities compared to its predecessors. Its advanced ISP, temporal denoising, and HDR imaging capabilities, coupled with its robust specifications, make it a powerful tool for a wide range of applications. With the Raspberry Pi 5, users can look forward to a miniature computer that delivers high-quality image processing, promising a more immersive and visually pleasing experience.

Pi 5 specifications

  • Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, with cryptography extensions, 512KB per-core L2 caches and a 2MB shared L3 cache
  • VideoCore VII GPU, supporting OpenGL ES 3.1, Vulkan 1.2
  • Dual 4Kp60 HDMI display output with HDR support
  • 4Kp60 HEVC decoder
  • LPDDR4X-4267 SDRAM (4GB and 8GB SKUs available at launch)
  • Dual-band 802.11ac Wi-Fi
  • Bluetooth 5.0 / Bluetooth Low Energy (BLE)
  • microSD card slot, with support for high-speed SDR104 mode
  • 2 × USB 3.0 ports, supporting simultaneous 5Gbps operation
  • 2 × USB 2.0 ports
  • Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT)
  • 2 × 4-lane MIPI camera/display transceivers
  • PCIe 2.0 x1 interface for fast peripherals (requires separate M.2 HAT or other adapter)
  • 5V/5A DC power via USB-C, with Power Delivery support
  • Raspberry Pi standard 40-pin header
  • Real-time clock (RTC), powered from external battery
  • Power button

For more information on the latest Raspberry Pi 5 mini PC and up to the date prices and ordering information jump over to the official product page.

Filed Under: Hardware, Top News





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How to use the new improved privacy features in Android 14

privacy features Android 14

Google recently launched their new Android 14 OS, the software is now available for a wide range of Pixel devices. Android 14 comes with a number of new and improved privacy features that give you more control over your data and how it’s used.

Here’s a look at how to use some of the most important ones:

More granular photo and video permission access

In Android 14, you can now give apps permission to access only specific photos or videos on your device, instead of giving them full access to your entire photo library. This is a great way to protect your privacy, especially for social media apps or other apps that you don’t trust completely.

To use this feature, go to Settings > Privacy > Permission Manager> Media. Here, you can tap on any app that has access to your photos or videos and then tap on Change to choose which specific photos or videos you want to give it permission to access.

Enhanced PIN privacy and optional removal of ‘OK’ button

Android 14 also includes a number of features to make PIN entry more secure and private. You can now disable animations when entering your PIN, which can make it more difficult for shoulder surfers to see what you’re typing. You can also remove the need to hit an “OK” button after entering your PIN, which can make unlocking your device faster and more convenient.

To enable these features, go to Settings > Security > Screen lock. Here, you can toggle on the Disable PIN animations and Remove OK button options.

New privacy dashboard

Android 14 also includes a new privacy dashboard that gives you a comprehensive overview of how your apps are using your data. You can see which apps are accessing your location, camera, microphone, and other sensors, as well as how often they’re doing so.

To access the privacy dashboard, go to Settings > Privacy > Privacy dashboard. Here, you can tap on any category to see more detailed information about how your apps are using your data.

Improved app permissions

Android 14 also includes a number of improvements to app permissions. For example, apps that want to access your location will now need to ask for your permission each time they want to use it, instead of just once when you install the app.

You can also now choose to grant apps permission to access your location only when you’re using them. This can help to save battery life and improve your privacy.

To manage app permissions, go to Settings > Privacy > Permission Manager. Here, you can tap on any permission to see which apps have access to it and then tap on the app to change its permission settings.

New privacy sandbox features

Android 14 also includes a number of new features for the Privacy Sandbox, which is a set of initiatives designed to protect your privacy on the web. For example, Android 14 now has a new feature called “Topics” that can help to reduce the amount of tracking that happens when you browse the web.

Topics work by assigning your browser to a set of interests based on your browsing history. Websites can then use these interests to show you relevant ads without having to track you individually.

To enable Topics, go to Settings > Privacy > Google > Ads and then toggle on the Enable Topics option.

Summary

These are just a few of the new and improved privacy features in Android 14. By taking advantage of these features, you can help to protect your data and privacy when using your Android device.

Here are some additional tips for using the new privacy features in Android 14:

  • Review your app permissions regularly and revoke permissions for apps that you don’t use or trust.
  • Use a VPN when connecting to public Wi-Fi networks.
  • Be careful about what information you share with apps and websites.
  • Keep your Android device up to date with the latest security patches.

By following these tips, you can help to keep your data safe and secure. We hope that you find our guide on how to use the new Android 14 privacy features helpful and informative, you can find out more details about the new Android 14 features over at Google.

Filed Under: Android News, Guides





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