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iOS 17.4 will remove Home Screen web apps in Europe

iOS 17.4

Apple’s iOS 17.4 is currently in beta, Apple recently released the third beta of the software and this update is bringing some major changes to the iPhone in Europe to comply with the new Digital markets App.

The update will introduce alternative app stores in Europe and alternative payment methods in apps and more, and now it has been revealed that iOS 17.4 will remove web apps from the Home Screen.

Apple is doing this for security and privacy reasons, as web apps on the Home Screen could potentially pose a risk to users, you can see more information from Apple on this below.

The iOS system has traditionally provided support for Home Screen web apps by building directly on WebKit and its security architecture. That integration means Home Screen web apps are managed to align with the security and privacy model for native apps on iOS, including isolation of storage and enforcement of system prompts to access privacy impacting capabilities on a per-site basis.

Without this type of isolation and enforcement, malicious web apps could read data from other web apps and recapture their permissions to gain access to a user’s camera, microphone or location without a user’s consent. Browsers also could install web apps on the system without a user’s awareness and consent. Addressing the complex security and privacy concerns associated with web apps using alternative browser engines would require building an entirely new integration architecture that does not currently exist in iOS and was not practical to undertake given the other demands of the DMA and the very low user adoption of Home Screen web apps. And so, to comply with the DMA’s requirements, we had to remove the Home Screen web apps feature in the EU.

You will still be able to access the website directly from your Home Screen with a bookmark, it will just not have the same features that the web apps did previously, you can find out more details over at Apple’s website at the link below. Apple is expected to release its iOS 18.4 software update in early March along with iPadOS 17.4 and a range of other updates.

Source Apple, 9 to 5 Mac

Image Credit: Thom Bradley

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Awesome iPhone Apps to Increase Your Productivity

Awesome iPhone Apps

In this article, we cover a range of iPhone apps that can help you with your productivity. Maximizing productivity and efficiently managing both personal and business tasks can be challenging. However, with the right set of tools, you can streamline your workflow and significantly enhance your day-to-day operations. If you’re an iPhone user looking to boost your productivity, you will be pleased to know that there’s a plethora of apps designed to cater to various aspects of your business and personal life. Drawing insights from Proper Honest Tech’s comprehensive video overview, let’s explore 10 iPhone apps that are game-changers in enhancing productivity and task management.

  1. Perplexity: In the realm of AI tools, Perplexity stands out for its exceptional ability to provide clear and concise answers to complex queries, challenging even the likes of Google in search capabilities. What sets it apart is its adeptness at handling voice inputs and its commitment to backing up its answers with sources, thereby elevating the trustworthiness of the information it provides.
  2. Structured Day Planner: Merging the classic to-do list with calendar functionalities, Structured is the ultimate day planner app. It offers a unique timeline format that aids in effective daily planning and task management, allowing users to stay on top of their schedules with ease.
  3. Reminders: Never underestimate the power of simplicity. The stock iPhone Reminders app, with its straightforward interface, proves to be incredibly effective for capturing quick tasks or ideas, especially with the convenience of Siri for hands-free inputs.
  4. Snipd: For podcast enthusiasts looking to consume content more efficiently, Snipd is a revelation. This podcast player not only lets you highlight and save key parts of podcasts but also generates transcripts and summaries, making information consumption a breeze.
  5. Otter AI: Capturing and transcribing voice notes into text has never been easier, thanks to Otter AI. This app is perfect for those spur-of-the-moment ideas that you need to save without the hassle of typing, offering a basic free version that’s ideal for personal use.
  6. Annotable: When it comes to editing and marking up images, Annotable is your go-to tool. Especially adept at concealing sensitive information before sharing images, this app ensures your edits are precise and your information is secure.
  7. Notion: Notion is more than just a note-taking app; it’s a comprehensive project management tool. With AI features that assist in content generation and text correction, it stands out for its multifunctionality and ease of use in organizing your work.
  8. Dark Noise: If ambient sounds help you focus, Dark Noise will be your sanctuary. Offering a variety of sounds to enhance productivity, its premium version allows for customization, catering to your personal preference for a focus-enhancing atmosphere.
  9. Spark Email: Managing emails efficiently is crucial, and Spark Email is here to transform your email experience. Integrated with AI, it summarizes emails and facilitates quick replies, streamlining your email management process.
  10. Forest: Embracing the Pomodoro technique with a twist, Forest encourages focused work sessions by letting you grow virtual trees, which can lead to real-world tree planting. It’s a unique approach to productivity that combines gamification with a cause.

Leveraging technology to manage your time and tasks more effectively is a smart strategy in today’s fast-paced world. The apps listed above are integral to not just managing a solo YouTube business but any venture or personal agenda that demands high efficiency and productivity. Each app, with its distinct features, contributes to a holistic approach towards enhancing your daily routine, ensuring you’re always at the top of your game. Embrace these tools and watch as your productivity soars to new heights.

Source & Image Credit: Proper Honest Tech

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Easily build full stack AI apps using Gradient

Easily build full stack AI applications using Gradient

Developers, engineers and AI enthusiasts looking to build full stack applications powered by artificial intelligence, might be interested to know that the development team at Gradient has introduced a new set of tools known as accelerator blocks. Designed to simplify the process of building full stack AI applications these AI tools are perfect for professionals who want to add sophisticated AI features to their work without getting bogged down by the complexity of the development process.

Gradient’s accelerator blocks come in five distinct types, each serving a specific function: Personalization, Sentiment Analysis, Q&A, Document Summarization, and Entity Extraction. This range of options allows developers to select and customize AI capabilities that best fit the requirements of their projects. Instead of starting from scratch, these pre-built blocks can be used as a foundation, saving valuable time and resources.

Gradient accelerator blocks

One of the standout features of Gradient’s platform is its support for retrieval augmented generation (RAG) collections. This advanced feature enhances the performance of large language models by providing them with additional context, which in turn improves their ability to answer questions accurately. The platform’s versatility is evident in its ability to handle various document formats, including text, PDF, CSV, MD, and DOCX. This flexibility ensures that developers can create RAG collections using a wide range of data, which is essential for developing robust AI models.

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Testing AI models is an essential part of the development cycle, and Gradient has made this step easier with a model testing feature that utilizes your uploaded collections. This functionality enables developers to refine their AI applications, ensuring high performance once they are deployed.

Gradient Accelerator Blocks

When it comes to document summarization, Gradient offers developers the ability to control the length of summaries, catering to different information needs. Developers can also train the AI with example summaries to ensure that the output aligns with their quality expectations.

Gradient’s platform is designed with an intuitive user interface, making it accessible to those who prefer a visual method of working with AI features. For those who are more code-savvy, Gradient provides a programmable interface, allowing developers to interact with the platform’s capabilities through code. This dual approach caters to a wide range of users, regardless of their level of technical expertise.

Simplify your AI development process

The tools provided by Gradient for sentiment analysis, personalization, and entity extraction are not just about creating AI workflows; they are also essential for understanding and engaging with audiences effectively. These tools help developers gain insights into user preferences and behaviors, which can be invaluable for tailoring user experiences and improving customer engagement.

A key element of Gradient’s accelerator blocks is their integration. Designed to work in concert, these blocks enable the creation of sophisticated AI workflows that can tackle a multitude of tasks. This integrated approach streamlines the development process, allowing developers to focus on building complex applications with ease.

Currently, Gradient is offering free access to these potent features. Developers can sign up for an account and start using the accelerator blocks right away, taking advantage of the opportunity to enhance their projects with advanced AI capabilities.

For engineers and developers eager to push the boundaries of AI in their applications, Gradient’s accelerator blocks offer a streamlined path to integrating complex AI workflows. With a comprehensive suite of tools at their disposal, developers can focus on what matters most: innovation and creating value. Whether the task at hand involves customizing user experiences, analyzing sentiments, or summarizing documents, Gradient’s technology equips developers to tackle these challenges with efficiency and precisi

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Drawbacks of using no-code platforms for full-stack software apps

things to consider when using no code platforms

No-code platforms have emerged as a popular solution for developing software applications without the need for traditional coding, offering a way for non-programmers to build applications through graphical user interfaces and configuration. While these platforms can significantly reduce the time and expertise required to launch an application, there are several drawbacks, especially when considering the development of full-stack software applications, which include both front-end (client-side) and back-end (server-side) components.

In the fast-paced world of software development, the allure of no-code platforms is undeniable. They promise a quick and easy path to creating a minimum viable product (MVP), bypassing the need for deep technical knowledge. Platforms like Bubble allow entrepreneurs to transform their ideas into working software with just a few clicks and drags. This approach can be particularly tempting for those looking to validate their software concepts in the market swiftly.

However, this convenience comes with its own set of challenges. As your software project grows, the simplicity of no-code tools may start to hinder progress. The inability to customize or scale your application due to a lack of access to the underlying code can become a major roadblock. This is especially true when your software needs to evolve to meet increasing user demands or when you’re trying to add unique features that set your product apart from the competition.

Managing a development team also becomes more complex without a solid grasp of coding principles. Trusting your team is crucial, but if you can’t understand the work they’re doing, you might find yourself facing mismanagement issues. This can lead to higher costs and delays that could have been avoided with a better understanding of the development process.

Things to consider when using no-code providers

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Legal issues are another area of concern. Working with international developers can introduce unexpected legal challenges, and intellectual property rights can be tricky to navigate on no-code platforms. These platforms may have terms that restrict your control over the software, which could affect your ability to transfer or sell it later on.

Cost is always a consideration in software development. Without coding knowledge, you might find it difficult to negotiate effectively with full-stack developers or to understand the true value of the work being done. This can result in spending more than necessary, straining your budget.

Moreover, a lack of technical expertise might lead to accepting longer development timelines, delaying your entry into the market. This gives competitors the chance to capture your intended audience before you’ve even launched. Unique features are often what attract users and investors to a software product. Relying solely on a no-code platform may limit your ability to offer these proprietary elements, making it harder to stand out in a crowded marketplace.

Drawbacks to no-code platforms

1. Limited Customization and Flexibility

No-code platforms provide a set of pre-built components and templates that users can utilize to build applications. This approach inherently limits the degree of customization and flexibility available. For full-stack applications, which often require complex, unique functionalities to meet specific business logic or user experience requirements, this limitation can be a significant drawback. Users may find it challenging to tailor the application to their exact needs or to implement advanced features that go beyond the platform’s capabilities.

2. Scalability Concerns

While no-code platforms are capable of supporting the development of applications quickly and with fewer resources, they may not always be the best choice for applications that need to scale significantly. As user base and data volume grow, the underlying infrastructure and architecture of a no-code platform might not provide the necessary control or optimization options to ensure efficient scaling. This can lead to performance issues, increased costs, or the need to migrate to a custom-coded solution eventually.

3. Integration Limitations

Full-stack applications often require integration with external services, APIs, or legacy systems. No-code platforms may offer some integration capabilities, but they are typically limited to popular services or require the use of generic, less efficient connectors. This can pose a challenge for complex applications that depend on deep, custom integrations, potentially leading to compromised functionality or additional development work outside the no-code environment.

4. Dependence on Platform Providers

Using a no-code platform for application development introduces a dependency on the platform provider for hosting, maintenance, and ongoing support. This can raise concerns about vendor lock-in, where migrating an application to another platform or a custom solution becomes difficult, time-consuming, and expensive. Additionally, the long-term viability of the platform provider becomes a critical factor, as changes in service, pricing, or company status could directly impact the application and its users.

5. Security and Compliance

Ensuring the security and compliance of a full-stack application is paramount, especially in industries subject to strict regulations. No-code platforms may not offer the same level of control over security configurations or compliance measures as custom-coded solutions. Users have to rely on the platform’s built-in security features and practices, which may not fully meet specific industry standards or regulatory requirements.

6. Performance Optimization

No-code platforms are designed to accommodate a wide range of applications, which means they often use generalized architectures that are not optimized for any specific use case. For full-stack applications with high performance requirements, this can result in inefficiencies, slower response times, and a less optimized user experience compared to applications developed with custom code, where every aspect of the system can be fine-tuned.

7. Prices Changes

An additional concern when using no-code platforms for full-stack software applications is the risk associated with price changes. Users of these platforms are subject to the pricing policies set by the platform providers, which can change. While reputable providers aim to notify users of pricing changes in advance, there’s always a risk that costs could increase unexpectedly or that new pricing models could be introduced that significantly affect the overall budget for maintaining and operating the application.

This lack of control over pricing policies can be particularly challenging for businesses that operate with tight budgets or for applications that are critical to business operations. Increases in costs could necessitate unexpected financial planning or even force users to consider migrating to other platforms or custom solutions, which can be costly and time-consuming. Furthermore, if the platform introduces new limits or features only available at higher pricing tiers, users may find themselves compelled to upgrade to continue meeting their application’s requirements.

The potential for price changes without adequate notification adds a layer of financial uncertainty when committing to a no-code platform for full-stack development. This underscores the importance of thoroughly reviewing the terms of service, including the pricing and notification policies, and planning for contingencies in the event of significant changes. It also highlights the need for a strategic approach to selecting a no-code platform, considering not just the current costs and features but also the long-term reliability and transparency of the provider.

Given these considerations, it’s clear that having some coding knowledge can be a significant advantage. As technology continues to advance, with AI becoming more integrated into our tools and systems, the value of understanding code only increases. Fortunately, learning to code is more accessible than ever, with resources like educational chatbots making the process more interactive and user-friendly.

While no-code platforms can be a great starting point for creating an MVP, they are not without limitations. These limitations can affect the long-term success of your software project. Knowing how to code, even at a basic level, can empower you to manage your team more effectively, keep costs under control, and ensure that your software has the unique qualities needed to succeed in today’s competitive environment.

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Build and publish AI apps and models on the cloud for free

Create and publish AI apps and models to the cloud for free

If you would like to build AI apps and AI models on the cloud you might be interested in a new workflow and system which offers a free package allowing you to test out its features before parting with your hard earned cash. BentoML is a tool that’s making waves by making it easier for developers to take their AI models from the drawing board to real-world use. This framework is fantastic for those looking to deploy a wide variety of AI applications, such as language processing, image recognition, and more, without getting bogged down in the technicalities.

BentoML stands out because it’s designed to be efficient. It helps you move your AI models to a live environment quickly. The framework is built to handle heavy workloads, perform at high speeds, and keep costs down. It supports many different models and frameworks, which means you won’t have to worry about whether your AI application will be compatible with it.

One of the most significant advantages of BentoML is its cloud service. This service takes care of all the technical maintenance for you. It’s especially useful when you need to scale up your AI applications to handle more work. The cloud service adjusts to the workload, so you don’t have to manage the technical infrastructure yourself.

Building AI Apps and Models

Another key feature of BentoML is its support for serverless GPU computing. This is a big deal for AI applications that require a lot of computing power. With serverless GPUs, you can scale up your computing tasks without overspending. This ensures that your applications run smoothly and efficiently, even when they’re doing complex tasks.

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BentoML’s cloud service can handle many different types of AI models. Whether you’re working with text, images, or speech, or even combining different types of data, BentoML has you covered. This flexibility is crucial for deploying AI applications across various industries and use cases.

The interface of BentoML is another highlight. It’s designed to be user-friendly, so you can deploy your AI models without a hassle. You can choose from different deployment options to fit your specific needs. The cloud service also includes monitoring tools, which let you keep an eye on how much CPU and memory your applications are using. This helps you make sure that your applications are running as efficiently as possible.

BentoML is an open-source framework, which means that anyone can look at the source code and contribute to its development. There’s also a lot of documentation available to help you get started and troubleshoot any issues you might run into. Currently, access to BentoML’s cloud version is limited to a waitlist, but those who support the project on Patreon get some extra benefits. This limited access ensures that users get the support and resources they need to make the most of their AI applications.

For those who need something more tailored, BentoML is flexible enough to be customized for specific projects. This means you can tweak the framework to meet the unique demands of your AI applications, ensuring they’re not just up and running but also optimized for your particular needs.

Things to consider when building AI apps

Creating and publishing AI applications and models to the cloud involves several steps, from designing and training your model to deploying and scaling it in a cloud environment. Here are some areas with consideration when building your AI app  or model.

1. Design and Development

Understanding Requirements:

  • Objective: Define the purpose of your AI application. Is it for data analysis, predictive modeling, image processing, or another use case?
  • Data: Determine the data you need. Consider its availability, quality, and the preprocessing steps required.

Model Selection and Training:

  • Algorithm Selection: Choose an appropriate machine learning or deep learning algorithm based on your application’s requirements.
  • Training: Train your model using your dataset. This step may require significant computational resources, especially for large datasets or complex models.

Validation and Testing:

  • Test your model to ensure it meets your accuracy and performance requirements. Consider using a separate validation dataset to prevent overfitting.

2. Preparing for Deployment

Optimization for Production:

  • Model Optimization: Optimize your model for better performance and efficiency. Techniques like quantization, pruning, and model simplification can be helpful.
  • Containerization: Use containerization tools like Docker to bundle your application, dependencies, and environment. This ensures consistency across different deployment environments.

Selecting a Cloud Provider:

  • Evaluate cloud providers (e.g., AWS, Google Cloud, Azure) based on the services they offer, such as managed machine learning services, scalability, cost, and geographic availability.

3. Cloud Deployment

Infrastructure Setup:

  • Compute Resources: Choose between CPUs, GPUs, or TPUs based on your model’s requirements.
  • Storage: Decide on the type of storage needed for your data, considering factors like access speed, scalability, and cost.

Cloud Services and Tools:

  • Managed Services: Leverage managed services for machine learning model deployment, such as AWS SageMaker, Google AI Platform, or Azure Machine Learning.
  • CI/CD Integration: Integrate continuous integration and continuous deployment pipelines to automate testing and deployment processes.

Scaling and Management:

  • Auto-scaling: Configure auto-scaling to adjust the compute resources automatically based on the load.
  • Monitoring and Logging: Implement monitoring and logging to track the application’s performance and troubleshoot issues.

4. Security and Compliance

Data Privacy and Security:

  • Ensure your application complies with data privacy regulations (e.g., GDPR, HIPAA). Implement security measures to protect data and model integrity.

Access Control:

  • Use identity and access management (IAM) services to control access to your AI application and data securely.

5. Maintenance and Optimization

Continuous Monitoring:

  • Regularly monitor your application for any performance issues or anomalies. Use cloud monitoring tools to get insights into usage patterns and potential bottlenecks.

Updating and Iteration:

  • Continuously improve and update your AI model and application based on user feedback and new data.

Cost Management:

  • Keep an eye on cloud resource usage and costs. Use cost management tools provided by cloud providers to optimize spending.

Considerations

  • Performance vs. Cost: Balancing the performance of your AI applications with the cost of cloud resources is crucial. Opt for the right mix of compute options and managed services.
  • Latency: For real-time applications, consider the latency introduced by cloud deployment. Select cloud regions close to your users to minimize latency.
  • Scalability: Plan for scalability from the start. Cloud environments make it easier to scale, but efficient scaling requires thoughtful architecture and resource management.

BentoML is proving to be an indispensable tool for anyone looking to deploy AI applications in the cloud. Its ability to support rapid deployment, handle scalability, and cater to a wide range of AI model types makes it a valuable asset. The user-friendly interface and robust monitoring tools add to its appeal. Whether you’re a seasoned AI expert or just starting out, BentoML provides the infrastructure and flexibility needed to bring your AI models into the spotlight of technological progress.

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How to generate investment for your AI apps and services

How to generate investment for your AI apps and services

if you are currently in the process of developing new artificial intelligent (AI)  applications and services you may be considering searching for investors or ways to generate investment for your AI solutions.  If you see a future where the world has fully embraced artificial intelligence.

This is the vision that Andreessen Horowitz, a prominent venture capital firm, is investing in. They believe that Artificial Intelligence (AI) is the key to unlocking a future where abundance is the norm, not the exception. Their investment strategy, known as “The Abundance Agenda,” is focused on funding AI-driven applications and platforms that could redefine entire industries and lead the market.

At the heart of this strategy is the idea that AI can democratize services that were once considered luxuries, making them accessible to a much wider audience. This could lead to an unprecedented generation of wealth for developers, investors, and users alike. Whether you’re creating the next big app, investing in cutting-edge technology, or simply enjoying the enhanced services AI provides, this shift has the potential to impact everyone.

AI is already making its mark on our daily lives. It’s managing our schedules, editing our videos, and even offering companionship. These advancements are not just theoretical; they are happening now, aiming to boost our productivity, creativity, and personal enjoyment. The rise of AI technology is creating a landscape brimming with opportunities. Developers have the chance to tackle significant challenges with innovative apps. Investors can support technologies that have the potential to break new ground. Users stand to benefit from improved services that can enrich their lives in countless ways.

AI app and technology investments

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The influence of AI is not limited to one sector; it’s spreading across multiple industries. It’s streamlining workflows, aiding in content creation, and providing personalized advice in areas like wellness and personal finance. AI is becoming an integral part of our daily routines, and its impact is only set to grow.

Andreessen Horowitz is particularly interested in AI applications that can efficiently complete consumer tasks, enhance social interactions, and contribute to personal growth. In the realm of education, AI has the potential to tailor learning experiences to individual needs. In personal finance, it can offer insights that were previously only available from professional advisors. The investment possibilities are extensive, and a16z is at the forefront, scouting for the next big thing in AI.

How to generate investment for your AI idea

Generating investment for AI apps and services is a nuanced process, involving a combination of strategic planning, effective communication, and network leveraging. Here’s a comprehensive guide to navigating this path:

1. Refine Your AI Concept

  • Identify a Problem: Focus on a specific problem that your AI app or service solves. The more acute and widespread the problem, the easier it will be to attract investment.
  • Unique Value Proposition (UVP): Clearly articulate what sets your AI solution apart from existing offerings. Whether it’s innovation, efficiency, cost reduction, or user experience, your UVP should be compelling and easy to understand.
  • Market Validation: Use data and research to demonstrate demand for your solution. This can include market size, potential growth, and early user feedback or case studies.

2. Develop a Robust Business Model

  • Monetization Strategy: Clearly outline how your AI app or service will generate revenue. Subscription models, freemium strategies, and service fees are common in the AI space.
  • Scalability: Investors are particularly interested in scalable businesses. Show how your solution can grow in terms of users, revenue, and market reach.
  • Cost Structure and Financial Projections: Present a clear picture of your startup costs, operating expenses, and projected revenues. Realistic yet optimistic financial models are key.

3. Create a Compelling Pitch Deck

  • Problem and Solution: Start with a clear and compelling statement of the problem you’re solving and how your AI solution addresses it.
  • Market Opportunity: Include data on market size, growth potential, and your target market segment.
  • Technology and Product: Explain the technology behind your AI solution and the status of your product development. If possible, include demos or prototypes.
  • Team: Highlight the expertise and experience of your founding team, especially in AI and the industry you’re targeting.
  • Financials and Ask: Present your financial projections and explicitly state how much investment you’re seeking and how it will be used.

4. Network and Identify Potential Investors

  • Target the Right Investors: Research and target investors who have a history of investing in AI or in your industry. Venture capital firms like Andreessen Horowitz, angel investors, and corporate venture arms are common sources of investment for AI startups.
  • Leverage Your Network: Use your personal and professional networks to get introductions to potential investors. Attend industry conferences, pitch events, and workshops to broaden your network.
  • Engagement on Social Media and Professional Platforms: Share your insights, progress, and achievements on platforms like LinkedIn and Twitter to attract attention from potential investors.

5. Master the Art of Pitching

  • Be Concise and Clear: When you get the opportunity to pitch, be concise, and get to the point quickly. Practice delivering your pitch to different audiences and refine it based on feedback.
  • Show Passion and Vision: Investors invest in people as much as they do in ideas. Show your passion for the problem you’re solving and your vision for the future.
  • Be Prepared for Due Diligence: Investors will scrutinize your claims, financials, and technology. Be prepared with data, documentation, and references to back up your statements.

6. Utilize Online Platforms and Competitions

  • Crowdfunding: Platforms like Kickstarter or Indiegogo can be used to raise funds while validating your market.
  • Startup Competitions: Participating in startup competitions and hackathons can provide both exposure and funding opportunities.

7. Continuous Learning and Iteration

  • Feedback: Be open to feedback from potential investors, even if they choose not to invest. This feedback can be invaluable in refining your approach.
  • Iteration: The tech industry evolves rapidly, and so should your AI solution. Continuously iterate on your product and business model based on user feedback and market trends.

By following these steps, you can increase your chances of securing investment for your AI apps and services. Remember, persistence and flexibility are key; not every investor will be a match, but with the right approach, you’ll find those who share your vision and are willing to support your journey.

As AI continues to evolve, it’s clear that it will play a pivotal role in shaping our future. The question is, how will you engage with this transformative movement? Will you be a creator, an investor, or a user reaping the benefits of AI’s potential? The opportunities are vast, and the time to get involved is now. For those interested in the financial aspect, exploring ways to automate passive income with AI could be particularly intriguing. Meanwhile, writers can enhance their craft with AI tools for fiction writing, and audiophiles might explore the latest AI tools for sound and audio.

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Apple Vision Pro has 600 apps at launch

Apple Vision Pro

The new Apple Vision Pro has gone on sale today and Apple has revealed that their new mixed reality headset already has 600 apps at launch. This includes streaming apps like Disney+, Warner Bros Max, and the Apple TV+ app.

There is also a range of games including Apple Arcade Gamnes for the Vision Pro, some of these include NBA 2K24 Arcade Edition, Sonic Dream Team, TMNT Splintered Fate, and more.

“Apple Vision Pro is unlocking the imaginations of our worldwide developer community, and we’re inspired by the range of spatial experiences they’ve created for this exciting new platform,” said Susan Prescott, Apple’s vice president of Worldwide Developer Relations. “With more than 600 new spatial experiences to explore in the all-new App Store, alongside more than 1 million compatible apps across iOS and iPadOS, users can discover a wide array of apps that expand the boundaries of what’s possible. These incredible apps will change how we experience entertainment, music, and games; spark our imaginations with new ways to learn and explore; unlock productivity like never before; and so much more. Developers are already capturing the promise of spatial computing, and we can’t wait to see what they create next.”

You can find out more information about the new Apple Vision pro mixed reality device over at Apple’s website at the link below, it is now available in the USA for $3,500.

Source Apple

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20+ Free AI tools and phone apps for Android and iOS

20+ Phone apps and AI tools that are completely free

Matt Wolfe  has put together a list of over 20 phone applications that feature artificial intelligence (AI) and the best thing is that all the AI tools are completely free to use. Artificial intelligence (AI) has become a key player in enhancing our daily lives. Now, this cutting-edge technology is readily accessible through a variety of free mobile apps for both iOS and Android devices. These apps are not just for tech enthusiasts; they’re for anyone looking to make their life easier, more productive, and more creative. From improving communication to streamlining your workflow, there’s an AI app that can help you with your tasks.

Imagine having a conversation with an AI chatbot that responds with the intelligence and warmth of a human. Apps like Chat GPT and Pi chatbot offer this experience, making it feel like you’re talking to a friend who can also search the web for information during your conversation. This can be incredibly useful for those who need quick answers without the hassle of typing out search queries.

Free AI Phone apps

For those who spend a lot of time researching, AI can be a game-changer. An app called Perplexity, for example, goes beyond just finding information—it suggests related topics, which can help you dive deeper into your research without getting lost in a sea of irrelevant data.

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Have you ever wanted to interact with your favorite fictional characters? Now you can. Character AI allows you to have conversations with characters as if they were real, providing a unique form of entertainment and engagement. Students and learners can also benefit from AI apps. Socratic by Google uses photo recognition to help solve problems, while AI Writer offers templates to help with writing tasks. These tools can save time and help users better understand complex subjects.

Language learning is another area where AI can make a significant impact. Elsa Speak, for instance, offers daily English lessons that focus on pronunciation, helping users communicate more effectively. Professionals who attend a lot of meetings might find Otter to be a lifesaver. This app records meetings, transcribes them, and provides summaries. It even allows users to ask questions about the recorded content, ensuring nothing important is missed.

For the creatively inclined, there are AI tools and apps that can transform the way you create art and videos. Dream, Starry AI, Photoleap, Videoleap, and Motionleap use AI to produce stunning art, video effects, and animations that can take your projects to the next level. If you enjoy photography, apps like Pixa Motion and Colourpop can add life to your images by animating them or adding color to black and white photos. This can make your visual content stand out and capture the attention of your audience.

Podcasters and music enthusiasts will appreciate Dolby On, which improves audio recordings by enhancing clarity. Gradient Music, on the other hand, creates personalized music playlists using AI, tailoring the listening experience to your tastes. For those interested in 3D modeling, Luma uses neural radiance fields (Nerfs) to create 3D models from photographs, adding a new dimension to your visual presentations.

Lastly, organizing information can be a daunting task, but AI can help with that too. Arc Search brings together information from various sources onto a single page, while My Mind offers a content archiving system that uses AI to generate summaries and tags, making it easier to find information later.

While these AI tools  are free to use, some offer optional paid upgrades for those who want even more features. However, the core functions of these apps are available at no cost, allowing you to take advantage of AI without spending a dime. As AI technology continues to advance, we can expect to see new updates and versions of these apps that will further enhance our mobile experience.

These 20+ artificial intelligence enabled mobile apps and AI tools provide you with a range of tools to manage your daily activities, learn new things, express your creativity and improve your productivity. By harnessing the potential of AI, you can make the most of your mobile device and stay ahead in the digital world. Whether you’re a student, professional, artist, or just someone who loves technology, these AI apps can help you achieve more with less effort. So why not explore what AI has to offer and see how it can transform your mobile experience? We highly recommend checking out all videos from AI enthusiast Matt Wolfe.

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New AI apps transforming our daily lives from creativity to research

New AI apps transforming our daily lives

Artificial Intelligence (AI) is swiftly changing the way we interact with the digital world, introducing new AI apps that improve our engagement with content on various platforms and in a wide variety of different ways. This shift is evident in the latest AI advancements that are reshaping our online experiences, from how we watch videos with real-time translation to the way we build websites using a single screenshot.

Imagine watching a video in your own language, with a voiceover that not only translates but also conveys the speaker’s emotions. This is no longer just a concept; AI has made it possible. Accurate dubbing that brings videos to life in multiple languages is now a reality, with platforms like YouTube incorporating these features to allow viewers to switch languages effortlessly.

But it’s not just about the audio. AI is enhancing the visual experience as well. With AI-driven lip-syncing, the words spoken are perfectly matched to the speaker’s lip movements, creating a more authentic and immersive viewing experience. This level of detail is crucial for maintaining the naturalness of performances, no matter the language.

7 New AI applications and AI tools

To learn more about new AI applications that are available to transform the way you create videos or carry out research or data analysis,  check out the video kindly created by AI Advantage discusses new ways to use AI in a number of different ways.

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The creative industry is also feeling the impact of AI. Artists and designers are using AI tools to create and improve digital artwork, leading to new forms of creativity and expression. For instance, Runway ML’s innovative brushes can bring static images to life with motion, opening up new possibilities for storytelling and communication.

In the realm of data analysis, AI is giving businesses a competitive edge. Services like Bright Data’s data scraping provide structured insights from web data, which are essential for developing strategies and staying ahead in the market. The ability to process large data sets quickly and accurately allows companies to make faster, better-informed decisions.

Even everyday applications like Google Chrome are being enhanced with AI. The browser’s AI image generation feature personalizes your browsing experience with unique visuals, demonstrating AI’s growing influence on our daily interactions with technology.

On social media, TikTok is advancing video technology by creating depth maps from videos. This innovation has the potential to change the landscape of 3D modeling and virtual reality, offering new avenues for creativity and development.

Another groundbreaking AI tool is the “Screenshot to HTML” model by Hugging Face, which is changing the game in web development. This tool can turn screenshots into HTML code, simplifying the process of creating web pages and making it more accessible to a broader audience.

Useful AI apps available now

11labs Dubbing Studio

  • Translates and dubs video content.
  • Converts speech from one language to another while maintaining the original speaker’s tonality.
  • Can share various links for dubbing, like YouTube videos.
  • Limited to 10,000 characters with the free plan.
  • Used for dubbing with additional video adjustments.
  • Adjusts the mouth movements in videos to match dubbed audio.
  • Enhances the realism of dubbed videos, making them appear more natural.
  • For more information jump over to the official 11ElevenLags  website.

Krea with Stable Diffusion

  • A combination tool that starts with painting in Krea.
  • Generates images using stable diffusion.
  • Ideal for creating artistic, custom images.
  • for more details on the AI that has the ability to design that the speed of thought jump over to the official website.

Runway ML and Motionshop

Motionshop framework to replace the characters in video with 3D avatars. Our framework consists of two parts: 1) a video processing pipeline to extract the inpainted background video sequence, 2) a pose estimation and rendering pipeline to generate the avatar video sequence. By parallelizing the two pipelines and using a high performance ray-tracing renderer TIDE, the whole process can be completed in minutes.

  • Animates photos into videos with multiple motion brushes.
  • Allows for different types of movements within the same scene.
  • Especially effective with anime, cartoonish, or drawn styles.
  • Jump over to the official website to learn more about the second-generation Runway ML video creation AI

Bright Data

Google Chrome’s AI Image Generation

  • Adds a feature to customize the Google Chrome interface using AI-generated images.
  • Represents an integration of standalone AI tools into existing applications.

TikTok presents Depth Anything

Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth Estimation (MDE) foundation models with the following features:

  • Zero-shot relative depth estimation, better than MiDaS v3.1 (BEiTL-512)
  • Zero-shot metric depth estimation, better than ZoeDepth
  • Optimal in-domain fine-tuning and evaluation on NYUv2 and KITTI
  • Creates depth maps from video content.
  • Depth maps illustrate the depth in a scene, with different tones indicating varying distances from the camera.
  • Useful in 3D modeling for separating the background from the subject and identifying different layers.
  • Demonstrates high accuracy in depth perception, particularly effective in video content.

Screenshot to HTML (Hugging Face Model)

  • Converts screenshots into HTML code.
  • Includes CSS styling for a more accurate representation of the original page.
  • Free and user-friendly, suitable for beginners in web development.

These AI innovations are not just impressive technological achievements; they are practical tools that are transforming the way we create, consume, and interact with content. As AI continues to evolve, we can expect a wave of new applications that will integrate this technology even more deeply into our daily lives, enhancing our digital experiences in ways we have yet to imagine.

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14 Awesome New Mac Apps You Should Check Out (Video)

14 Awesome New Mac Apps

If you’re a Mac user keen on enhancing your productivity and user experience, you will be pleased to know that 2024 has ushered in a suite of compelling applications that are transforming how we interact with our Macs. These apps, highlighted in a recent YouTube video Andrew Ethan Zeng, range from security tools to creative editing software, each designed to streamline your digital life. Let’s dive into the details of these 14 incredible Mac apps that you should check out.

  1. Clyde: Your Mac’s New Guardian Clyde is not just a security application; it’s a peace-of-mind provider. When your Mac is moved, Clyde locks it and triggers an alarm, while simultaneously sending a notification to your phone. This dual action ensures both physical and digital security for your device.
  2. Portal: A Gateway to Focused Productivity Portal enhances your productivity by immersing you in a Zen mode. It combines spatial audio-supported white noise with visually stunning backdrops, creating an environment conducive to deep concentration and creativity.
  3. Hazeover: The Focus Enhancer If you’re wondering how to avoid distractions from multiple open windows, Haze Over is the answer. It helps you focus on one task at a time by dimming all background windows, effectively reducing visual clutter and enhancing concentration.
  4. Al Dente: Prolonging Your Mac’s Battery Life Al Dente is a proactive tool for managing your Mac’s battery health. It restricts charging to a set percentage, thus extending the lifespan of your battery and maintaining its efficiency over time.
  5. ItsyCal (or ItyCal): Simplifying Schedules For those who need quick access to their calendar, IyCal is a game-changer. This menu bar calendar app makes scheduling events and viewing dates a breeze, integrating seamlessly into your daily workflow.
  6. Monitor Control: Master Your Display Users of non-Apple external monitors, rejoice! Monitor Control allows you to adjust brightness, contrast, and volume of external monitors with ease, bringing Apple-like control to all your displays.
  7. PDF Gear: The Versatile PDF Editor PDF Gear is a robust, free PDF editor, offering features like text editing, compression, and merging. Its AI-powered tools elevate it from a simple editor to a comprehensive PDF solution.
  8. Transnomino: Bulk Renaming Made Easy If you often find yourself overwhelmed with bulk file renaming tasks, Transnomino is your go-to solution. It simplifies and streamlines the renaming process, saving you time and effort.
  9. Photomater: Enhance Your Images Photomater is a powerful photo editing app that integrates with Apple’s photo app. It boasts auto-enhance functions, allowing you to quickly refine your images with professional-grade tools.
  10. Recut: Streamlining Video Editing Recut is a time-saver for video editors, automatically removing silences and stutters from video clips. This tool is invaluable for creating smooth, professional-quality videos with minimal effort.
  11. HEIC Converter: Universal Compatibility HEIC Converter tackles the compatibility issues of HEIC files by converting them into more widely accepted formats like JPEG or PNG, ensuring your images are accessible across all platforms.
  12. XNIP: Screenshotting Redefined XNIP elevates the simple task of taking screenshots to an art form. It offers various editing and annotation options, making it an indispensable tool for both professionals and casual users.
  13. Handbrake: The Ultimate Video Conversion Tool Handbrake is a versatile video conversion tool supporting a wide range of formats and codecs. Whether you’re a professional videographer or a casual user, Handbrake caters to all your video conversion needs.
  14. Hand Mirror: Perfect Your Video Call Appearance Hand Mirror is your quick solution for checking your webcam and framing yourself correctly before video calls. It ensures you always look your best when you go live or join a meeting.

Andrew’s video not only showcases these applications but also invites viewers to share their favorite Mac apps, fostering a community of tech enthusiasts. He concludes by offering a link to another video featuring 12 more Mac apps, further expanding the horizon for Mac users.

These 14 Mac apps represent the forefront of innovation and utility for Mac users in 2024. Whether you’re looking to enhance your productivity, streamline your workflow, or just enjoy a more seamless user experience, these apps have you covered

Source & Image Credit: Andrew Ethan Zeng

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