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This guide will cover the basics of working with text prompts and how you can effectively utilize them to render the images you envisioned. Takeaways Prompts for AI image generators can be both text and image-based, and in some cases, a mix of both The general structure of text prompts for AI image generators is similar across the board, as is the word count and order of descriptors. Different elements of a text prompt have unique effects on the rendering and add complexity to the image. What Are Prompts? Prompts for AI image generation are commands, either textual or visual, that dictate what image the AI platform creates. Typically, you will find two different image generation prompt types: text and image. Text Prompts To tell the AI what kind of image to render, you should first describe that image. This is done with a text prompt, which is a list of words, sometimes even a grammatically correct sentence, describing what the AI should render. The highlighted textbox is an example text prompt used to . Depending on the rendering platform you’re using, identical text prompts will have varying results. render images with AI using the Let’s Enhance Image Generator Image Prompt In some cases when text is not enough, you can upload images to an AI image generator and use it as a reference to create other images. Depending on the type of AI platform you’re using and the type of results you will need, using image prompts can be even more effective than text. For example, DALL.E’s Outpainting AI can take an existing image and render its continuation. The image above demonstrates what the AI believes is the continuation of the famous Johannes Vermeer painting of Girl with a Pearl Earring. The original image of the painting is within the square and everything that surrounds it was rendered by DALL.E. A Mix of Both While most of the AI image generators you find on the market today will be text-based with some options for image prompts, there are ways to utilize a mix of both prompts to render desired images. Writing an Image Generation Prompt One very important detail you must keep in mind is to understand what a particular AI image generator specializes in and how to use it effectively. Some AI image generators, such as the Dall-E series are very good at rendering images that imitate photorealism. On the other hand, there’s Midjourney, which is well known for being very effective in digital art or illustration formats. Our own Let’s Enhance Image Generator is great at simulating the visual aesthetic of product images, on top of also rendering photo-realistic images, illustrations, and 3D models. Word Count: Use At Least 3-7 Words While most AI image generators will have a character limit on the text prompts, there is no word limit. This means that you have the freedom to structure your text prompt any way you want. However, the consensus, for now, seems to be that you need 3-7 words to write a successful text prompt for the AI to render. Here are the rendered images of the text prompt in the example above. The “wide shot” prompt significantly impacted the images in the left column. You don’t have to strictly abide by this rule and are allowed to use less than 3 or more than 7 words. But as you’ll see in the examples below, it’s not so much the number of words that matter, but what words you use. Subject: Who and What Any AI image render requires some sort of subject. This should be the first thing you write in the text prompt (in most cases). It is possible to just leave a single subject in the text prompt and have the AI generate something a little more general. However, in most cases, you’re going to need a more descriptive text prompt to generate an image that comes as close to what you were looking to render. Subjects are typically nouns, so the best place to start with your text prompt regardless of which AI you’re utilizing is to start with one. Description: What They Are Doing, Where, and How To add a little more nuance to your rendered image and help the AI narrow down what images to use as references, you need to utilize descriptions. These are your adjectives, and much like how you would use them in any ordinary sentence, they describe the subject. The trick with using adjectives in AI image generation is that you can combine several of these to add more depth and complexity to the image. Aside from adjectives that describe the subject, another element of the description is details that answer questions such as: What is happening? What is the subject doing? How is the subject doing this? What’s happening around the subject? That last question is pretty important, as backgrounds play a key role in effective descriptions. Here’s an example of two similar text prompts yielding quite different results. The text prompt for the image on the left was . Raccoon reading The text prompt for the right image, however, was slightly more detailed; hence why the image came out clearer and more complex: Raccoon reading a book in a library photo close shot. As you can see by the results, we answered several questions, and the AI was able to narrow down what we were looking for and rendered something as close to what we were looking for as possible. The AI was able to generate an image with greater details and fewer anomalies. Here’s another great example of how AI image generators work better with more detailed image prompts. This generated image of a finch demonstrates how AI can render a generic but very accurate image even without additional descriptors. However, the rendering on the right demonstrates how AI image generators, in this case, Stable Diffusion, can work with more elements to render a significantly more complex visual. Aesthetic and Style: How It Looks To complete the text prompt, there are a few more text prompts you must add that will put the finishing touches on your rendered image. Notice how, at the end of the text prompt above, we had words like “photo” and “close up”. The last words in your prompt will be the ones that dictate the overall aesthetic and style of your image. Instead of “photo”, you could have had “oil painting”, “fresco”, or “3D rendering”. To dictate the style of your image, you can also use art movements such as impressionist, gothic, steampunk, etc. Also, if you’re looking to replicate the works of a famous artist, you can even put one or more famous names in the text prompt too. The AI will combine influences from various famous artists to create something that blends elements from all of them. Finally, you can also dictate the framing of the image as well. Prompts such as “close up” or “medium shot”, much like how you would do in photography, can help the AI understand what angle you want the image to be presented from and from what distance. Here’s an example of two images generated by Lexica of a handheld computer device. The prompt on the left, though simple, was able to generate a vintage device that even replicates the old-school LCD display. However, the rendering to the right, thanks to prompts like “vaporwave aesthetic” and “product photography”, has a more defined visual aesthetic and style, as you can tell by the neon colors. Experience Is the Best Teacher No amount of tips and tricks are going to teach you how to write effective AI prompts than experience. The best part about AI image generators is that they’re very accessible. All you need is an internet connection, and you can choose from the many free platforms available. So get out there and experiment with AI image prompts to see what new and fascinating things you can discover in the rising field of image generation.

A Simple Guide on AI Text Prompts: Tell the AI Exactly What You Want to See

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Um guia simples sobre prompts de texto de IA: diga à IA exatamente o que você deseja ver

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AI 文本提示简单指南：准确告诉 AI 你想看什么

That’s a short warning to all Tensorflow users working with visual content. Short notice: don’t use any functions! tf.image.resize I was rewriting codebase of our — Let’s Enhance to make it ready for bigger and faster models and API we are working on. As we work with image generation (superresolution, deblurring, etc) we do rely on a typical image processing libraries like OpenCV and PIL. I always had suspicions that it makes sense to use Tensorflow image processing capabilities — in theory, they should be faster. So, I decided to stick to native Tensorflow image preprosessing and dataset building tools using dataset.map() to keep all operations in tensors all around my code. neural network image upscaling service The problem was quite awful — my new and shiny code for superresolution wasn’t able to reproduce not only any state-of-art networks but even my own code that I wrote 4 months ago. And the ugliest part was that results of superresolution itself were pretty good sometimes, the network was working, although not reaching target PSNR and having strange visual artifacts sometimes, like doubling of small lines. Let the debug begin What initially was looking as minor bug became 60 days of struggle and sleepless nights. My faulty logic was simple — there’s something wrong with network definition or training process. Data preprocessing is definitely fine, as I am having meaningful results and visual control over image processing in Tensorboard. I tweaked everything I was able to find, defined network using Keras, Slim, raw TF — nothing, looked for changes in TF 1.3->1.4->1.5 and different CUDA versions, paddings behaviors. I am ashamed even to tell you about my latest suspicions, which involved defects in GPU RAM and statics. I was tweaking perceptual losses and style losses looking for a reason. And each iteration took days to retrain until some meaningful result… Yesterday I found when looking into Tensorboard. It was almost subliminal feeling that something is wrong with the image. I disregarded network output and just overlayed target image and input image(that is a downscaled target image) in Photoshop. Here’s what I got. The Bug, Looks strange, somekind of displacement happening here. Totally againts any logic, this just can’t be true! My code is dead simple. Read image, crop image, resize image. All in Tensorflow. Anyway, RTFM. tf.image.resize_bicubic has a parameter — “align corners”. How in the world would you like to downscale image and not have corners aligned? You can! So there is a very weird behavior of this function known for a long time — . They can’t fix it as this can break lots of old code and pre-trained networks. read this thread Our function isn't even reflection equivariant. It would be lovely to fix this, but I'd be worried about breaking old models. tf.image.resize_area This code does actually displace your image by one pixel to the left and top. Thread suggests that even the interpolation is broken in TensorFlow. It’s 2018, people. Here are the actual downscaling results with TF. Stick to Scipy/OpenCV/numpy/PIL whatever you prefer for image processing. The second I changed it my network worked like a charm (next day actually, when I saw training results).

How Tensorflow’s tf.image.resize stole 60 days of my life

A photograph is worth a thousand words. It can express what words fail to articulate. In this digital era, every business is working to improve its social presence. If you want to post product photographs on the social media page or wish to add a featured image with every blog you publish, you should optimize every photo using high-quality photo editing software. To make truly amazing images for your business, you need the image editing software available. Prior to sharing any image digitally, you must give it a final touch. There are platforms available online with incredibly advanced features. What is Photo Editing Software? Photo editing software lets users enhance or retouch digital images. They contain numerous tools that can help from basic retouching to advance customization of images. Every software available online is equipped with different tools to cater to your business needs. You should start experimenting with a few of the software to choose the best option for your business. 10 Benefits Every business needs this software to make their products look more attractive. Let us go through some major benefits of the software. Fix the imperfections in the photographs Quickly make the corrective changes Resize or scale images Eradicate unwanted features from photos Give aesthetic appeal to images Make photographs compatible with multi-platforms Refresh same photos for multiple usages Compress image to reduce site loading times Help in effortless customization Make brand promotion an easy task List of 7 Best AI Photo Editing Software Here is the list of top 7 AI photo editing software to edit your photographs and make them more expressive: Appy Pie’s Photo Editor Luminar 4 Photoshop Paintshop GIMP Lightroom Photopea 1. Appy Pie Appy Pie’s free online editor lets you quickly edit and customize your digital photos. The software, with plenty of image retouching tools, helps you make your images perfect for your brand promotion. Let us understand what makes Appy Pie an excellent editing tool. Clean and uncluttered user interface Features can be accessed with a simple toggle Possesses plenty of tools from basic to advanced Availability of advanced post-production online photo effects No hassle of purchase and install Eases of use to customize the effects of any photo Allows saving the image in both PNG and JPEG formats Opens availability of tool, i.e., not even login ID is needed Cleans the cache memory after the session is completed No third-party ads are available for distraction Appy Pie is one of the best photo editors which takes away all the flaws of your digital image within a few clicks. It lets you turn your raw images into amazingly attractive photographs. 2. Luminar 4 Skylum Luminar 4 is the latest version of Luminar which offers revolutionary tools and AI technology to give power to your creative instincts of photo editing. It has numerous features that can help you transform your images to all-new levels. Let us go through some of them. All-in-one photo editor which can both organize and edit an image Highly effective AI-based editing tools Efficiently used as a standalone program or as a plugin with other software Highly intuitive interface Provides online tutorials for a better understanding Makes batch processing task simple and easy Ranges from essential to professional features for everyone Consists of a variety of tools like AI sky replacement, detail enhancer, dodge, and burn, and much more. Luminar 4 is a photo editing software with a variety of tools that can help you in making images a perfect fit for your brand promotion. It lets you create unbelievable masterpieces for different styles of photos. 3. Adobe Photoshop Adobe Photoshop is one of the most widely used image editing software. Beginners might find it intimidating at first but once they learn the software, they can customize any digital image in thousands of ways with Adobe Photoshop. It stands out due to numerous features. A few of them are mentioned below. Clean, intuitive, and slick interface A variety of tools are available to edit complex composite images User-friendly tool panel with a flyout animation to show how tools work Offers layer-based editing, i.e., allows selective editing of any image One-time subscription with a nominal fee Stores image editing progress in the cloud Allows working with multiple panels at the same time Provides several tools for smart sharpening to reduce halo effects. Photoshop is one of the popular editing software used by both beginners and advanced designers. It allows users to experiment with their creative instincts and make the images exactly what they wish for. 4. PaintShop Photo Editing Software PaintShop is a powerful software that offers every feature craved by designers. Both beginners and professionals can easily turn your images at all-new levels with PaintShop. Here are some of the exclusive features offered by PaintShop. Offers features for 360-degree photo editing Touchscreen compatible Suitable for Windows users Content-aware editing technology Provides tools for layer-based image editing Supports plugins in addition to built-in filters and effects Retouches images with color correction and other features Tutorials are available for easy understanding of software Offers tools for turning your photos into paintings Have built-in templates to inspire budding designers. PaintShop allows users to discover a world full of creative possibilities and bring life to your photographs. It provides highly effective AI-based features and tools to create the best of the real digital images. 5. GIMP (GNU Image Manipulation Program) GIMP is suitable for professional graphic designers, photographers, illustrators, and even beginners. It has a variety of customization options and third-party plugins to make your photo editing experience unique. Let us go through some of the major features offered by GIMP. Cross-platform image editor available for various operating systems Provides tools for high-quality image manipulation Offers intuitive interface with mockups to understand the functionality of each tool Absence of third-party ads to make users experience seamless The interface can be customized to provide a friendly environment to designers Many images can be opened at once which eases the photo editing process The corrective mode is available the eliminate perspective distortion Offers top-notch color management features for high fidelity color reproduction while editing photos GIMP is one of the photo editing software which offers a high level of customization and provides numerous tools to edit photos. It gives artists the flexibility to turn images into highly unique creations. 6. Lightroom Lightroom is one of the most popular photo editing software which lets you edit your raw digital images and turn them into masterpieces. It is a cloud-based software that helps artists explore an all-new world of editing. All-in-one image cataloging and raw processing Requires less effort touch-up photos to cater to business needs Allow importing an entire folder of images and start editing them all together Supports all major formats of RAW files Offers organizing capabilities of photos Provides storage space for saving your edited images Built-in tutorials for understanding software Raw file editor for correcting exposure and white balance in images Graduated filter for normalizing overexposed or darkened pictures Lightroom has easy-to-use tools for giving the required touch up to your digital images. It gives you the choice to start editing your photos on mobile, web, or desktop. Lightroom lets you experiment with your creative instincts. 7. Photopea Photopea is a free online photo editor that supports various formats of raw images. It allows creating an all-new edited image from your original one. It is one of the most advanced and affordable photo editing tools with a variety of features. Some of them are mentioned below. Completely free and internet-based software Layer based photo editing tool Offers refine edge tool to work with complex shapes in images Provides scope for experimenting with original colors of photos Automation for recording earlier work and applying to other documents Photopea is a photo editing software suited to both beginners and professionals. It helps you in editing your digital images and turns your imagination into reality. Final Thoughts You can choose any one of them depending on which best caters to your business needs. Make sure you experiment with at least two to three software before selecting the one which can fulfill your requirements. Let your creative instincts do magic with your images!

7 Best AI Photo Editing Software for Beginners in 2023

Even if you’re new to C#, you’ve probably come across at least one of Tasks, Threads, or BackgroundWorkers. With a bit of additional time, it’s likely you’ve seen all three in your journey. They’re all ways to run concurrent code in C# and each has its own set of pros and cons. In this article, we will explore how each one operates at a high level. It’s worth noting that in most modern .NET applications and libraries you’ll see things converging to Tasks. The Approach I’ve gone ahead and created a test application that . Because this is in source control, it’s possible/likely that it will diverge from what we see in this article, so I just wanted to offer that as a disclaimer for you as the reader. you can find here The application allows us to select different examples to run. I’ll start by pasting below so you can see how things work. that code using System.Globalization;

internal sealed class Program
{
    private static readonly IReadOnlyDictionary<int, IExample> _examples =
        new Dictionary<int, IExample>()
        {
            [1] = new NonBackgroundThreadExample(),
            [2] = new BackgroundThreadExample(),
            [3] = new BackgroundWorkerExample(),
            [4] = new SimultaneousExample(),
        };
    private static void Main(string[] args)
    {
        Console.WriteLine("Enter the number for one of the following examples to run:");
        foreach (var entry in _examples)
        {
            Console.WriteLine("----");
            var restoreColor = Console.ForegroundColor;
            Console.ForegroundColor = ConsoleColor.Cyan;
            Console.WriteLine($"Choice: {entry.Key}");
            Console.ForegroundColor = ConsoleColor.Magenta;
            Console.WriteLine($"Name: {entry.Value.Name}");
            Console.ForegroundColor = ConsoleColor.Yellow;
            Console.WriteLine($"Description: {entry.Value.Description}");
            Console.ForegroundColor = restoreColor;
        }
        Console.WriteLine("----");
        IExample example;
        while (true)
        {
            var input = Console.ReadLine();
            if (string.IsNullOrWhiteSpace(input))
            {
                Console.WriteLine("Would you like to exit? Y/N");
                input = Console.ReadLine();
                if ("y".Equals(input, StringComparison.OrdinalIgnoreCase))
                {
                    return;
                }
                Console.WriteLine("Please make another selection.");
                continue;
            }
            if (!int.TryParse(input, NumberStyles.Integer, CultureInfo.InvariantCulture, out var exampleId) ||
                !_examples.TryGetValue(exampleId, out example))
            {
                Console.WriteLine("Invalid input. Please make another selection.");
                continue;
            }
            break;
        }
        Console.WriteLine($"Starting example '{example.Name}'...");
        Console.WriteLine("-- Before entering example method");
        example.ExecuteExample();
        Console.WriteLine("-- After leaving example method");
    }
} Threads Threads are the most basic form of concurrent execution in C#. They are created and managed by the operating system, and can be used to run code in parallel with the main thread of execution. The concept of a thread is one of the most basic building blocks when we talk about concurrency in general for programming. However, it’s also a name of a class that we can directly use in C# for running concurrent code. Threads allow you to pass in a method to execute. They also can be marked as background or not, where a background thread will be killed off when the application attempts to exit. Conversely, a non-background thread will try to keep the application alive until the thread exits. Here is an example of creating and starting a new thread: Thread newThread = new Thread(new ThreadStart(MyMethod));
newThread.Start(); One major advantage of using Threads is that they have a low overhead, as they are managed directly by the operating system. However, they can be more difficult to work with than other concurrent options, as they do not have built-in support for cancellation, progress reporting, or exception handling. In C#, we’ve had access to the Thread object for a long time so it makes sense that other constructs have been built on top of this for us adding additional quality of life enhancements. Let’s check out : the first Thread example public void ExecuteExample()
    {
        void DoWork(string label)
        {
            while (true)
            {
                Task.Delay(1000).Wait();
                Console.WriteLine($"Waiting in '{label}'...");
            }
        };

        var thread = new Thread(new ThreadStart(() => DoWork("thread")));
        thread.Start();

        Console.WriteLine("Press enter to exit!");
        Console.ReadLine();
    } In the context of our sample application, we would be able to see the method printing to the console while the Thread is running. However, when the user presses enter, the example method would exit and then the program would also try to exit. Because this Thread is not marked as background, it will actually prevent the application from terminating naturally! Try it out and see. We can directly compare this with , which has one difference: The Thread is marked as background. When you try this example out, you’ll notice that the running thread does not prevent the application from exiting! the second example Background Workers BackgroundWorker is a higher-level concurrent execution option in C#. It is a component included in the System.ComponentModel namespace, and generally you see this used in GUI applications. For example, classic WinForms applications would take advantage of these. Let’s look at : our example for BackgroundWorker public void ExecuteExample()
    {
        void DoWork(string label)
        {
            while (true)
            {
                Task.Delay(1000).Wait();
                Console.WriteLine($"Waiting in '{label}'...");
            }
        };

        var backgroundWorker = new BackgroundWorker();
        // NOTE: RunWorkerCompleted may not have a chance to run before the application exits
        backgroundWorker.RunWorkerCompleted += (s, e) => Console.WriteLine("Background worker finished.");
        backgroundWorker.DoWork += (s, e) => DoWork("background worker");
        backgroundWorker.RunWorkerAsync();

        Console.WriteLine("Press enter to exit!");
        Console.ReadLine();
    } One major advantage of using a BackgroundWorker is that it has built-in support for cancellation, progress reporting, and exception handling. It is setup slightly different in that event handlers are registered onto the BackgroundWorker. You can additionally have a completion handler and others registered to the object. Like a Thread marked as background, the BackgroundWorker will not block the application from exiting. Tasks Want to see how Tasks factor in? Be sure to check out that details Tasks in the same way. It summarizes with a conclusion about how you may want to use each in your programs! my blog post This article first appeared on . my blog

Understanding Tasks, BackgroundWorkers, and Threads

An educator’s warning to Elon Musk We have our clearest indication yet that the cyborgs are coming. Elon Musk has formally accepted his invitation to the AI party the only way he knows how: . will create brain-enhancing digital implants; the first step on the road to merging humans with software. Musk has taken on the mantel of preserving the human race, and he believes the only way to counter the threat of AI’s rapid ascent is by meshing together biological and digital forms of intelligence. by founding a company Neuralink To date, . But Musk has form for bringing outlandish fantasies to bear. In fact, to Musk the cyborg is no fantasy at all. Musk is not the first to make the point: over half a century has passed since . Who could doubt it? . cyborgs have been the preserve of Sci-Fi He recently argued that humans have already merged with technology. Marshall McLuhan declared technology “the extensions of man” Not even the Amish, apparently Our existence is laced with digital interactions. When was the last time you went a day without any reliance on your tech devices? If it was a digital detox, it only proves the point. We need not lean on Sci-Fi depictions to understand the implications of brain augmentation. is enmeshed in our intellectual pursuits. Google has already assumed the role of virtual assistant, making it the perfect case study for exploring the benefits — and dangers — of digitally enhanced brains. Technology , my first instinct was to formulate and solve the problem for myself. After obsessing over the problem for a few days, I turned to my second instinct: I it. There was just one issue — I had no clear sense of what ‘it’ was. I had the makings of an interesting problem, represented symbolically as an equation with three unknowns. I did not know if the problem was familiar enough to have a name. I searched multiple terms, to no avail. When I recently stumbled upon a mathematics problem Googled Google can make for a paltry oracle. Just like the , the deadly accuracy of Google counts for little when the search is aimless. Norden bombsight With Google bearing no fruit, I gave in to the reflexive tendency of posting the problem online. It took a matter of minutes for the Reddit community to deliver. One member recognised my scrawling as a ; a well-known maths problem with established solutions. Moments after, another member directed my gaze to a beautiful illustration of the equation’s significance involving . It is a delight. Pell equation marching squares My quest for answers was complete, aided by technology but ultimately facilitated by humans. Technology was the means by which I connected with the collective intelligence of humans to stretch my own knowledge of mathematics. That certainly sounds like augmentation. But my momentary relief gave way to an unsettling feeling. I had been of my curiosity. My mathematical mystery was solved for me. The mathematician in me was silenced as answers gushed forth. Was this marginal gain in knowledge really worth surrendering my agency as a mathematician? robbed In its purest distillation, the experience of mathematics is defined by the journey towards understanding. The answer to a maths problem is far less illuminating than the process of formulating strategies, exercising intuition and exploring different solution paths. Technology places knowledge at our fingertips. But knowledge is a double-edged sword. We need it to frame our understanding of problems and to develop lines of attack. But knowledge of the solution can take away all the mystery and creativity of problem solving — the core tenets of mathematical thinking. Technology can accelerate our efforts to acquire knowledge, but decimate our intuitions by serving up answers at the inopportune time. Teachers find themselves in a dangerous place when students seek confirmation of an answer. It seems cruel to deprive students of any knowledge, yet it is crueller still to strip them of their ability to validate their own arguments. Technology is not designed to handle this situation with care. It is hell-bent on information processing with clinical efficiency, even at the expense of human understanding. Information versus insight is the Sophie’s choice of brain enhancement. McLuhan was ahead of his time when he emphasised the medium over the message. The very shape of technologies can profoundly impact the way we interact with knowledge. . I am equally concerned that knowledge-rich technologies will devolve humans into fast-track problem solvers. Nicholas Carr has famously lamented that information-laden digital interfaces have reduced his literary brain to that of a skim-reader Contemplative problem-solving is the mathematical equivalent of leisure reading. It should never be reduced time-bound solution grabbing. The promise of cyborgs is that the combined force of human and digital intelligence will be greater than the sum of its parts. Our record with technology snipes away at this optimistic outlook. Digital intelligence that is predicated on information processing undermines our innate, human intelligence. Perhaps the most empowering role of technology is in connecting humans to our own, collective intelligence. Something for Elon and others to think about as they plot their path to cognitive enhancement. Let’s just hope they don’t Google the answer. I am a research mathematician turned educator working at the nexus of mathematics, education and innovation. Come say hello on Twitter or LinkedIn . If you liked this article you might want to check out my following pieces: _As the quest for strong AI unfolds, are we losing our grip on human intelligence?_hackernoon.com Maths students are trapped in Searle’s Chinese room _The number problem that won’t go away_mystudentvoices.com How an old man’s ravings awakened the mathematician in me _How the tech-empowered teacher will lead the future of Education_medium.com Charting the battle of man vs. machine in Education

Thinking in the age of cyborgs

In the name of God, this year’s third release of Flutter 3.3 is here, giving Flutter developers more opportunities to build out the world apps for Android, iOS, Mac, Windows, and more from a single codebase. Google unleashed what’s new in Flutter 3.3 at the beginning of a community-led conference, Flutter Vikings, dedicated to Flutter and Dart that took place in Oslo. It’s good to see how the Flutter economy is snowballing. Over 500K developers from different corners of the world registered for the event. Not only fan following but the usage of Google’s “massive cross-platform” development kit has also increased, said Tim Sneath, “Every day, more than 1,000 new mobile apps using Flutter are published to the Apple and Google Play stores, along with more usage on web and desktop,” he added. Moving further, the Flutter 3.3.0 release note focuses on refining the performance to reinforce Flutter 3’s features. It also includes extending support for Google’s latest design language, Material You, with newly updated widgets and improvements, Scribble handwriting, selectable text grouping, and more. With this release, Flutter’s underlying programming language Dart upgrades to 2.18 with FFI support for libraries and connects with Swift and Obj-C code. There is so much to know about Flutter 3.3.0 release note so that you can . So, let’s get going! enhance Flutter development performance across desktop, web, and mobile Flutter 3.3 Release Note Highlights Worth Your Attention Material Design 3 IconButton, Chips, and AppBar, with large and medium variants from Material 3 have all been improved in this Flutter release. And faster loading times and lower memory usage for images included in the app are possible with the new ui.ImmutableBuffer.fromAsset() method. However, to leverage these redesigned widgets of Material You, Flutter developers need to opt for “useMaterial3.” Given that the team has kept it optional. Scribble The Flutter team has brought interesting, exhilarating, and amusing UI with default support for Scribble handwriting input on iPadOS using the Apple Pencil. Flutter developers can easily enable this functionality by upgrading to Flutter 3.3, and it will be enabled by default on “CupertinoTextField,” “TextField,” and “EditableText.” Text input Flutter 3.3 has also focused on the text input and improved it by introducing the ability to receive granular text updates directly from “TextInputPlugin.” So now, TextEditingDeltas and the DeltaTextInputClient fill the information gap that occurred previously as the plugin couldn’t differentiate between old and new. Consequently, developers can create an input field that contracts and expands as you type. Global Selection Mark our words when we say Flutter will dissolve the fine line between cross-platform and native apps no matter what platform. Until the Flutter 3.3 release, you couldn’t match web experience with expected behavior while attempting to select text. Because web native apps also contain a tree of elements, and you can easily select multiple web elements with a single gesture. But this was not the case in Flutter web apps before. Now, the introduction of the SelectableArea widget lets you enable the selection of any child of the widget for free. New Graphic engine “Impeller” Flutter uses the Skia rendering engine but looking at the future, Google’s team is working on a new next-gen rendering layer, “Impeller.” The new graphic engine will utilize the power of hardware-accelerated graphic APIs Metal on iOS and Vulkan on Android to give a performance boost to your Flutter app. However, the Impeller is currently available as an early adopter preview on iOS and seeking your feedback. So, when are you trying? Wonderous: UI reference app Partnering with Gskinner’s design team, the Flutter team has created this wonderful Wonderous app that showcases how far Flutter goes in delivering high-end, beautiful user experiences. The app lets you explore the world’s best places, from the Taj Mahal to the Mayan ruins of Chichén Itzá, right on your phone. Its wide range of visual techniques, UI, and graphics are to inspire Flutter developers. Above all, by installing the app on an Apple device, you can see Impeller in action. VS Code improvements The Flutter 3.3 release has taken the pain of adding dependencies out of the Visual Studio Code Extention for Flutter. Using Dart: Add Dependency, Flutter developers can now add multiple and comma-separated dependencies in one step. Navigation API The Flutter team has taken care of Flutter app development with complex navigation requirements by extending its native navigation API. the go_router is a Flutter package that simplifies routing through a declarative, URL-based API to navigate and handle deep links. Now, they have rolled out a new version, 4.3 of this package, that enables redirecting using asynchronous code. Ultimately, it makes navigation across mobile, web, and desktop even smoother. DevTools The DevTools have been updated with a number of refinements since the last release to make the development process smoother and more geared towards results. These updates include performance boosts in data display tables, UX optimization, smoother scrolling of large lists of events, and more. Lastly, let’s peep into what’s new in Dart 2.18 With Google’s SDK, its programming language also grows, and this time it turns to Dart 2.18; here are its notable improvements. Dart’s “FFI–Foreign function interface” support has been extended to seamlessly connect with code written in Swift and Obj-C. Dart 2.18 minimizes the need to write platform-specific code using the , which enables developers to achieve platform-specific behavior. package:http Client API It also brings improved type inference to write more concise code while maintaining the complete soundness properties of the strongly inferred types. Performance improvements to async code; Improved interoperability; New pub.dev features, such as a funding tag; For more, you must check . Dart 2.18 official post Upgrade or Build your app with Flutter 3.3 Not only enterprises but software companies have also started hiring Flutter developers rigorously, and the reasons are obvious. Every other project is using Flutter these days. So, the rising demand for Flutter developers is inevitable. From the Flutter 3.3 and Dart 2.18 releases, we can foresee where Google is taking cross-platform app development to. It would be foolish if you won’t take advantage of this marvelous technology to build out-of-the-box solutions. Are your resources ready to create a Valhalla experience for your users with Flutter?

Highlights Of Flutter 3.3 Released During Flutter Vikings Conference

The Definitive History of Hamburger and Menu Now tell me, What is worth a thousand words? A picture? Exactly! Beyond question, this statement became voguish when the editor was discussing ‘ ’ in a 1911’s newspaper article. Tess Flanders journalism and publicity Now, this concise statement could be more relevant to the that we use on our websites. And when the icon was launched, it was new, yet omnipresent because of its name linked to a popular food item. icons ‘ Hamburger ’ In the midst of all these naming sport, reached out to , the designer of this nameless visual nugget to know more about it. Geoff Alday Norm Cox He also told him an about Hamburger icon… in-joke On and on, when this icon started coming up on screens for real, consumers felt distraught. They weren’t sure of what it meant and what they were supposed to do with it — the three bold lines! Later, some of the designers and developers came forward with the idea of running to solve this uncertainty. A/B tests “Finally, A/B tests showed them how much users engaged with the new Hamburger icon.” The results seemed a shocker! That, Hamburger (aka sandwich) was not even recognized well as we first thought. bordered This article will do the heavy lifting for us collating the ideas of when to use icons and when the written words will best suit our need. And if you want to know more about Hamburger, refer the study done by . It will explain to you why this design choice didn’t actually make any sense. theatlantic.com Icons — To cope with space reduction The reason why most of the designers choose icons over text is: . Icons need less space And this has risen to the top of the designer’s priority list as mobile screens are becoming smaller day by day also the responsive designs are gaining larger traction rapidly. As a fact, Google has recently updated its application to make more use of icons. They mean, that icons are one of the most legible ways to represent a status or influence an action. Also, their reasons for focusing on comes with a lot of sense because icons are instinctive and small and with mobile devices and their shrinking screen size, on-screen real estate has become a costly asset! iconography Google, in specific, creates simple icons because light and legible icons are easy to understand and adapt. Simple icons require very less learning. But looking at the other side of the spectrum, larger ones are immensely valuable in niche situations but their learning curve is lengthy that they require ages for becoming a no-brainer. In cases where companies like Microsoft want their newbies to learn about their product quickly, they include text instead of icons while other companies spend time training their users to recognize their new and unusual icons. Texts — For clarity In spite of icons’ convenient size, some of the designers think that icons are not an effective mode of communicating with users. Among other issues, the meaning of icons can vary based on one’s culture. Sometimes they carry no meaning at all whatsoever. This, of course, is one of the major usability issues. Along with other designing myths, one very prevalent and disproven myth is “ .” icons enhance usability Let’s see what the expert panel of thinks of icons… UXMYTHS.COM Considering the speed with which we are developing features nowadays, we are seeing plenty of features coming in and going out (growing old), while some of the icons’ style or meaning change over time. Our world is getting smaller and issues like “ ” can have the major impact too. check box “Hence it is always important to have ‘context’ as the key while designing” Of course, we understand the consequence of using texts in an international application. The language barrier complications are so high in such cases that the usage of icons or symbols is to be made mandatory here. However, when creating applications for local or single culture, with diversified age groups and technical abilities, texts are often the best choice. Many applications pick the most important functionality and mark it with texts instead of creating an icon for each. “Companies provide text for their significant functionality instead of icons.” Despite the fact that, good designs never come without a good deal of research, I am listing some of my suggestions for you to start along with some educating posts. Use whenever necessary icons For desktop/apps, make the icons slowly animating on hover Make the icons easy to locate Show initially labels Research by about symbol signs. Aiga.org Research by about the history of computer icons. design.tutsplus.com Research by about founding HAMBURGER icon. gizmodo.com Thank me for not boring you 😉 (you could pretend at least!)

An (ICON)ic Story Of HAMBURGER and MENU

We like to think we know a thing or two about artificial intelligence. We've seen the ominous technological future depicted in television shows and films of robots slowly amalgamating into society. But this imagery is all wrong. AI isn't taking over the world in the form of lifelike robots. Instead, automation has been in our lives for quite some time now, and many of us are likely not even aware of it. Driverless cars. Voice-activated home assistants. Smartphones. These are all made possible because of artificial intelligence. It's not only changed our lives in unimaginable ways, but it’s also allowed us to collect, analyze, and interpret data that can help us better understand the world around us. And for business owners, that's critical not only for our organizational efficacy and profitability, but it allows us to see our customers through an entirely new lens. It's no surprise that many industries are already taking advantage of artificial intelligence in their practices — and now, so is the cannabis industry. The legal cannabis market is predicted to reach . To prepare for this growth, leaders in the cannabis sector must exploit AI’s transformative powers or risk falling behind the competition. over $66 billion by 2025 So, what exactly are some of the transformative powers artificial intelligence holds in the cannabis industry? Let's find out. Enhanced cultivation capabilities Have you ever enjoyed the benefits of smart home technology? If you have, you know that smart lights and smart thermostats allow you to control your home’s lighting and temperature from anywhere in the world. Growers can now enjoy these same benefits. By using artificial intelligence, we are , which can generate higher yields at lower prices. This is what we do at Tweedleaf. better able to manage our crops We use AI to adjust the pH level and moisture levels of our soil. We also use AI to help monitor and control lighting exposure to ensure our plants receive the appropriate level of photosynthesis. We even use it for pest control. By giving growers real-time updates, AI eliminates the 'guessing game' of cultivation. Is the growth rate slower than usual? Are nutrient levels low? Is there a pest infestation? Artificial intelligence alerts growers to any issues, so they know exactly what to fix and how to fix it. All of this is pretty miraculous when you think about it. AI allows growers to create the perfect environment for plants rather than leaving it up to chance. Growers shouldn't have to hope for the best; they can make this 'best' their reality. But one of the biggest advantages of artificial intelligence is that it makes it possible for growers to create and breed new, customized strains. As the legal marijuana market continues to expand, access to a variety of strains ensures that all consumers can benefit from the remarkable and healing powers of cannabis. And once growers perfect their new strains, they can then use AI to lock in the correct watering, lighting, and temperature schedules that will aid in the cultivation and production of a diverse range of plants. Recommendation apps For many of us, our smartphones were our earliest introductions to artificial intelligence. We've become so accustomed to their convenience that we can't imagine our lives without them. This is exactly why they were created — to make our lives better. Think about the last time you shopped online. As you were shopping, the store probably sent you some 'recommended' items to view. Were they scarily accurate? This wasn't by mistake. By using AI, brands can analyze your preferences and interests and pull items from their store they also think you'd like. While this may seem a bit eerie at first, we've eventually come to love these recommendations. Instead of spending hours browsing a site, the brands are doing the heavy lifting for us and pulling the products we'll have the most interest in. The cannabis industry can take advantage of these same benefits. Certain apps like can help medical marijuana users traverse the world of legal cannabis. What experience do you hope to get from a cannabis product? Do you use it to alleviate a physical injury? Do you need it to help you sleep better at night? Are you a creative person and want to gain some inspiration? Recommendation apps can pull information about you and use it to offer insight into new strains you might like to try. Uppy This sort of capability is so invaluable because it enriches our experience and can transform our lives. Better customer experience/service While artificial intelligence has many benefits for companies, its central mission is improving the customer experience. If you've ever browsed a marijuana company's website and interacted with a chatbot, there's a good chance you spoke . And chances are you probably didn't even realize you weren't talking to a real person. with a digital budtender that was powered by AI This is how powerful artificial intelligence has become. And now, would rather speak with a chatbot than a human because it saves time, and these chatbots can often be more knowledgeable. over half of people Consumers — especially new cardholders — often have a lot of questions about different products at the onset yet are too intimidated and embarrassed to walk into a dispensary and approach an employee for answers. Digital budtenders can help walk people through these questions online while also providing them with insight into the cannabis products that will best fit their needs. As customers feel more comfortable, they will begin interacting with your company more and more, which will result in a higher number of sales. Additionally, brands can also to have this same impact in-store. By placing a QR code on your packaging, a dispensary can equip customers with all of the information they should know about a product: potency, expected effects, user reviews, lab testing, etc. And because they don't have to approach a person with all their questions, this could also lead to more sales. take advantage of tools like QR codes Artificial intelligence isn't just a revolutionary technology; it’s the future of business. Companies that implement this transformative technology do so not only to the benefit of their organizations but also to their customers.

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