For whatever reason, Samsung has been avoiding Android’s seamless update feature for the past eight years now. Not anymore! The Galaxy A55 is the first Samsung phone to use Google’s seamless update feature, and it will likely come to more Galaxy phones soon.
Seamless updates work by installing an update to a secondary system partition instead of the primary one, and then booting from that secondary partition the next time the device is restarted. The primary and secondary partitions are essentially switched upon reboot, and this is a process that is repeated every time a new software update is available.
Today, the Galaxy A55 became the first Samsung phone to receive a seamless Android update, consisting of a new security patch. Incidentally, this is also the first firmware update for the Galaxy A55, and we’re guessing future updates will be just as seamless.
Users can and will be able to tell that their Galaxy phones are installing a seamless update judging by the new split progress bar. It consists of two sections named “Downloading and installing…” and “Verification.” We were also able to confirm seamless updates are present via the use of Android’s developer tools.
The first reboot after a seamless update might take up to 90 seconds to finish — or at least, it did on our Galaxy A55 — but there are no more update processing loading screens and spinning cog-wheels that lock you out from using the phone for a few minutes.
Support for seamless updates requires two system partitions and, therefore, more storage space, but on the Galaxy A55, it doesn’t look like the storage space available to the user is affected in any way compared to Galaxy phones without seamless updates.
With generative AI transforming the way businesses around the world work, plan and evolve, the need to ensure the data such platforms use and generate is paramount.
Although primarily still seen as a cloud and storage leader, Amazon Web Services is looking to play a key role in ensuring businesses of all sizes remain safe against the myriad of security threats facing organizations today.
And with generative AI’s increasing popularity leading to an explosion in possible security threats, the company is setting out its stall to be the ideal ally when it comes to keeping your data protected in the generative AI age.
Raising the bar
“There’s always work to be done in security to continue to raise the bar – the question is, where are the risks, and how are you focusing on them?” Chris Betz, AWS CISO tells TechRadar Pro in an exclusive interview.
Generative AI is set to provide lots of advantages, but broken down to its simplest form, Betz notes that the platforms need to have due care and attention.
“Speaking to CISOs, there is a recognition that generative AI models are code,” he laughs. “And like code, it’s important that you have all of the protections you would normally have around any software program.”
(Image credit: Future / Mike Moore)
As mentioned, AWS’ expertise across much of the technology industry means it is in a good place to provide these protections as part of an all-round offering – especially good news if your workers are already familiar with AWS technologies.
“One of the most amazing things about the infrastructure we’ve built here at AWS is that you build and secure as one consistent natural motion,” Betz notes, highlighting the importance of how generative AI fits within overall security applications, as companies don’t just utilize generative AI on its own, but as part of a wider solution.
“To take full advantage of generative AI, you have to be able to get large volumes of data in close proximity to incredible processing power, and be able to protect that data throughout – because in some cases, some of the most sensitive data you have, that makes your business unique, is that data you want to bring to your model, in order to train it and educate it.”
“That’s part of the reason why we designed the (AWS security) platform – we wanted to offer choice within so you can have the same foundation, and then bring different platforms…it’s really about providing builders with choice, and the tools they need.”
Betz says that generative AI has to fit within a company’s existing systems, and that, “bringing all this together, running on a platform, that operates within a suite of other technologies, all within a consistent security wrapper, is incredibly valuable”.
“Gen AI is an incredibly powerful tool for answering a certain set of questions,” he adds, “my goal with security, and technology in general, is to enable people to do smart, high judgement work, and have the computers do the rest.”
(Image credit: Shutterstock / LookerStudio)
As with any new technology, the question emerges of the role actual humans will need to play – especially as much of the promotion around generative AI is concerned with making our lives easier.
But with humans often proving the weakest link when it comes to cybersecurity, can AI-powered systems finally help lessen the risk?
Betz is cagey, noting that although generative AI is really good at bringing together massive amounts of data and helping us understand it, “I don’t yet see it as a replacement for human judgement – but it’s an incredible way for people to look and find answers faster and easier.”
Instead, he says it can play a key role as a part of a suite of technologies that’s poised to keep helping us solve problems, with computers sticking to solving the problems they are best suited for.
“People solve really hard and thoughtful problems, and they should, like with any technology, question the data they are getting, and make sure that they’ve got the quality that we want,” he notes.
“I want the secure way to be the easy way – and I want the easy way to be the secure way,” he adds, using humans being distracted by a potential phishing email test from their company’s IT team as an example. “When security is a seamless part of how we do our jobs, it works best – when there’s friction, and people have to stop doing the job that they’re trying to to do to pause and think about security, that’s where we are in the riskiest position, where human judgement can go wrong.”
Overall, Betz is confident about the role of generative AI within the technology industry as a whole, and with AWS leading the way in so many areas, this confidence looks well-placed.
“I’m really excited to see where we go with generative AI over the next 12 months,” Betz concludes, “as an industry, we’ve got a solid foundation, at least within AWS – and I’m really interested to see where as we continue to build and explore, but also continue to make it safer for people to use these technologies.”
One of the most exciting recent AI developments in the last few weeks is the new live speech translator called Seamless introduced by Meta. This cutting-edge tool is changing the game for real-time communication, allowing you to have conversations with people who speak different languages with almost no delay. Imagine the possibilities for international business meetings or casual chats with friends from around the globe. Meta explains more about its development
Seamless, the first publicly available system that unlocks expressive cross-lingual communication in real time. To build Seamless, we developed SeamlessExpressive, a model for preserving expression in speech-to-speech translation, and SeamlessStreaming, a streaming translation model that delivers state-of-the-art results with around two seconds of latency. All of the models are built on SeamlessM4T v2, the latest version of the foundational model we released in August.
Meta Seamless live voice translation AI
SeamlessM4T v2 demonstrates performance improvements for automatic speech recognition, speech-to-speech, speech-to text, and text-to-speech capabilities. Compared to previous efforts in expressive speech research, SeamlessExpressive addresses certain underexplored aspects of prosody, such as speech rate and pauses for rhythm, while also preserving emotion and style. The model currently preserves these elements in speech-to-speech translation between English, Spanish, German, French, Italian, and Chinese.
But AI’s advancements doesn’t stop at language translation. It’s also making strides in enhancing the quality of our digital interactions. For instance, an open-source AI speech enhancement model is now available that rivals Adobe’s podcast tools. This AI can filter out background noise, ensuring that your voice is heard loud and clear, no matter where you are. It’s a significant step forward for anyone who needs to communicate in less-than-ideal environments.
The personal touch is also getting a boost from AI. New technologies now allow you to create customized figurines that capture your likeness. These can be used as unique social media avatars or given as personalized gifts. It’s a fun and creative way to celebrate individuality in a digital age.
For the intellectually curious, AI is offering tools like Google’s DeepMind’s Notebook LM. This isn’t just a digital notebook; it’s a collaborative research tool that can suggest questions and analyze documents, enhancing your research and brainstorming sessions. It’s like having a smart assistant by your side, helping you to delve deeper into your work.
AI translation demonstrated
Check out a demonstration of the Seamless AI translation service from Meta and other AI news and advancements thanks to The AI Advantage who has put together a selection of innovations for your viewing pleasure.
Here are some other articles you may find of interest on the subject of AI and creating AI projects and automations:
AI News in the healthcare sector, includes new advances for ChatGPT enabling it to now interpret blood work and DNA tests, providing medical advice and health recommendations that are tailored to individual needs. This could revolutionize patient care by offering insights that are specific to each person’s health profile.
Content creators are also seeing the benefits of AI. New video creation methods are advancing rapidly, with technologies that can generate lifelike human images in videos. This enhances the realism and engagement of digital content, making it more appealing to viewers.
The art world is experiencing its own AI renaissance. An AI art generator named Leonardo now includes an animation feature, allowing artists and animators to bring static images to life with ease. This opens up new possibilities for creativity and expression, making animation more accessible to a broader range of artists.
For video producers, making content accessible to everyone is crucial. An AI tool on Replicate now provides captioning services for videos, ensuring accurate transcription and synchronization of words. This not only makes content more inclusive but also expands its reach to a wider audience.
These innovations are just a few examples of how AI is being integrated into our daily lives. With each passing week, new AI applications emerge, offering more convenience, personalization, and enhanced communication. As we continue to witness the rapid growth of AI technology, it’s clear that its potential is boundless. Keep an eye out for the next wave of AI advancements—they’re sure to bring even more exciting changes to our world.
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Over the past 12 months the world of digital art creation has exploded. One recent AI tool that has been making waves in this field is DallE 3 launched by OpenAI. But is it capable of creating seamless patterns like other AI art generator such as Stable Diffusion and Midjourney. This guide takes a deep dive into the world of DallE 3, exploring how it can be used to create seamless patterns that can be used on a variety of products with remarkable precision and finesse.
Experimentation on just how good DallE 3 was at create seamless patterns and to what accuracy was conducted using Redbubble, a popular platform for customizing products, to upload and evaluate the patterns on items such as graphic T-shirts, phone cases, and spiral notebooks. A tutorial created by the Autopilot Passive Income YouTube channel also provides more insight into how you can use these new AI features within DallE 3 to create patterns for your own uses or to sell online.
The journey begins with the generation of a myriad of seamless patterns using DallE 3. The AI tool was given specific prompts, such as the creation of a seamless floral pattern. To add depth and complexity to the design, a carefully chosen color palette was used, along with additional details like a hand-drawn illustration with a subtle grunge texture. These graphic design elements served to enrich the patterns, enhancing their visual appeal and making them more captivating.
Creating seamless patterns with DallE 3
Once the patterns were created, they were uploaded to Redbubble to evaluate their seamless integration on various products. The patterns were implemented on graphic T-shirts, phone cases, and spiral notebooks. The visibility of seams was then meticulously scrutinized on each product. The goal was to determine how well the patterns maintained their integrity and continuity when applied to different surfaces and shapes.
Seamless pattern prompts
Creating seamless patterns using DALL-E 3 involves crafting prompts that effectively communicate the desired elements, styles, and continuity of the pattern. Remember, DALL-E 3 might require a few attempts to perfectly capture your vision, so be patient and adjust your prompts based on the results you get. Here are some tips for formulating your prompts:
Specify the Pattern Type: This involves defining the fundamental nature of the pattern. For instance, geometric patterns can range from simple shapes like squares and triangles to more complex tessellations. Floral patterns might include specific flowers or a mix of foliage and blossoms. Abstract patterns could be more free-form and less representational. By specifying the type, such as “intricate Celtic knot pattern” or “retro 70s swirls and circles”, you guide the AI towards your desired theme.
Mention Color Palette: Colors can dramatically change the feel of a pattern. Pastel shades might convey a soft, gentle aesthetic, while bold, primary colors could give a more energetic vibe. Specifying colors like “earth tones including browns and greens” or “monochrome pattern in shades of blue” helps in achieving the desired mood and visual impact.
Indicate Style or Era: This adds a historical or cultural dimension to your pattern. An Art Deco style may feature streamlined, geometric forms and rich colors, while a Victorian pattern might include intricate florals and ornate details. By stating something like “a pattern in the style of Japanese Edo period art” or “1960s psychedelic patterns”, you direct the AI towards specific artistic influences.
Detail the Scale and Density: The size and spacing of elements in a pattern are crucial for its overall appearance. A dense pattern with small, closely packed elements creates a different effect than a sparse pattern with larger, more spaced-out elements. For example, “a densely packed miniature star pattern” or “a sparse pattern with large, abstract shapes” gives clear guidance on the desired scale and density.
Request for Symmetry or Asymmetry: Symmetrical patterns are balanced and orderly, while asymmetrical patterns can appear more dynamic and spontaneous. By specifying your preference, such as “perfectly symmetrical geometric shapes” or “asymmetrical layout with varied plant forms”, you can influence the pattern’s balance and flow.
Define Texture or Material: This aspect involves the perceived surface quality or material of the pattern. A pattern that mimics a specific material, like “a seamless pattern that looks like quilted fabric” or “metallic sheen in an industrial-themed pattern”, can add a tactile dimension to the visual design.
Consider Repeating Elements: Emphasizing seamless transitions between elements is crucial for a continuous pattern. Phrases like “elements that interlock without visible seams” or “a pattern where shapes blend seamlessly at the edges” ensure the AI understands the need for a cohesive, uninterrupted design.
Be Open to Experimentation: Exploring unconventional combinations or novel ideas can lead to unique and creative patterns. Inviting unpredictability with prompts like “a fusion of Art Nouveau and futuristic styles” or “an unexpected mix of organic and digital elements” can yield fascinating results.
Image upscaling
To ensure the high quality of the patterns, an image upscaler was employed. This tool amplifies the resolution of images, making them clearer and more detailed. The upscaler was particularly beneficial for patterns that included intricate details, such as the hand-drawn illustration and grunge texture. The high-resolution images resulted in patterns that were sharp and well-defined, regardless of the product they were applied to.
The use of color palettes and supplementary details played a significant role in personalizing the patterns. The color palette was carefully chosen to complement the design and enhance its visual appeal. Additional details, such as a hand-drawn illustration and a grunge texture, were also incorporated to add depth and complexity to the patterns. These elements contributed to the creation of unique and visually engaging designs that stood out on the products.
Seem visibility
The visibility of seams was a critical factor in evaluating the seamless integration of the patterns. The patterns were inspected on various products to determine the visibility of the seams. The aim was to ensure a seamless transition from one segment of the pattern to the next, regardless of the product’s shape or surface.
To achieve superior seamlessness, several strategies were employed. One such strategy involved adjusting the background color. By choosing a background color that harmonized with the pattern, the visibility of seams was significantly reduced. Another strategy involved the use of image sizing tools to ensure the patterns fit perfectly on the products. These modifications resulted in patterns that were approximately 95% seamless.
The experiment demonstrated that DallE 3 is highly proficient in creating patterns that are nearly seamless. The AI tool was successful in generating unique and visually engaging designs that maintained their integrity and continuity when implemented on various products. However, the seamlessness of the patterns was not perfect, and some adjustments were necessary to achieve superior results. Despite these minor challenges, DallE 3 proved its worth as a tool for creating seamless patterns, offering a fresh and innovative approach to graphic design and those looking to resell a designs perhaps on Etsy or other digital e-commerce sites.
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If you would like to be able to generate a wealth of seamless patterns with almost limitless possibilities in both digital and fabric making applications. You’ll be pleased to know that the process of creating these once tricky pieces of digital art is now extremely easy thanks to the revolution in artificial intelligence and AI generators such as Midjourney.
Creating seamless patterns is an art form that has been transformed by the advent of digital tools. One such tool is Midjourney, a versatile platform that allows users to create, store, and manipulate patterns with ease. This article will delve into the process of creating seamless patterns using Midjourney, from the initial selection of patterns to the final verification of seamlessness using a free online checker.
Digital seamless patterns offer a high degree of versatility in both design and application, making them valuable assets in various industries. In the realm of fashion and textiles, for instance, these patterns can be directly printed onto fabric to create intricate and repetitive designs that are not constrained by the size of the printing machinery. This allows for the mass production of uniquely designed garments, upholstery, and home furnishings without the worry of misalignment or pattern breaks.
How to create seamless patterns with Midjourney 5
Midjourney is not just a platform for pattern manipulation; it also allows users to add additional elements to their patterns. One such element is color. By copying a color palette from the AI Art Studio Notion template created by AI Foundations and pasting it into Midjourney, users can infuse their patterns with hues and expand their creativity. This additional paid template not only allows you to easily manage all your AI art creations but also allows you to add a layer of customization to the pattern creation process, allowing users to create designs that are truly unique.
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The key to creating seamless patterns in Midjourney lies in the use of the ’tile’ parameter. This parameter ensures that the pattern repeats flawlessly, without any visible seams or breaks. Users can also specify other parameters, such as the aspect ratio, to further customize their patterns.
Once the pattern is created, it is essential to verify its seamlessness. This is where a free online checker comes into play. The pattern is first upscaled and saved to the user’s computer. It is then uploaded to the seamless texture checker website. This website tiles the image, allowing users to visually confirm if the pattern is indeed seamless. A seamless pattern will appear as one continuous background, devoid of any lines or boxes that would indicate a break in the pattern.
The process of creating seamless patterns using Midjourney is a blend of creativity and technical precision. It allows users to experiment with different patterns and colors, while also providing them with the tools to ensure that their creations are seamless. Whether the patterns are used for backgrounds, wallpapers, text styles, or wrapping paper, the result is a visually pleasing design that is free of any distracting seams.
The world of digital seamless patterns
Midjourney is a powerful tool for creating seamless patterns, whether you are a seasoned designer or a novice looking to experiment with pattern creation, Midjourney offers a user-friendly platform to bring your creative visions to life. Allow you to sell your creations on platforms such as Etsy and others.
In graphic design and digital marketing, seamless patterns provide the perfect backdrop for websites, digital advertisements, and social media platforms. Their aesthetic consistency enhances user engagement and experience without distracting from the content. Additionally, in 3D modeling and animation, seamless textures are used to wrap around 3D objects, providing realistic surfaces without obvious edges where the texture starts or ends.
Moreover, seamless patterns have applications in scientific visualization and data representation. For example, geospatial information systems (GIS) often use seamless digital patterns to represent different types of terrains or land uses on maps. In this way, a single pattern can be stretched or shrunk to fit various scales and complexities, enabling accurate and visually appealing representations. Overall, the adaptability and aesthetic coherence of seamless digital patterns make them a go-to resource across multiple disciplines.
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