9 Best AI Logo Generators in 2024 (Free and Paid)

AI Tools Articles
Our pick Wix Logo Maker Visit site

Wide Range of Customization Options: Wix AI Logo Maker provides tons of templates, icons and customization options.

Runner up Looka Visit site

Quality of Logos Generated: The logo designs that are AI generated are high quality and allow for further revisions.

The recent advancements in generative image AI, such as Stable Diffusion, DALLE-3, and Midjourney, have made it easier to create high-quality, photorealistic graphic assets from simple text prompts.

One of the ways, that has been used extensively is for generating logos for business branding. While a graphic designer might charge thousands for similar quality, an AI logo generator delivers comparable results instantly for less than the price of a coffee.

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Midjourney Review 2024 – Pros, Cons and Features

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Imagine a robo dragon that breathes fire and also carries a flame thrower because, well, it’s a robo dragon. Now imagine drawing it out on a digital tool. It can take time, and of course, artistic skills. But not with Midjourney.

Midjourney is a Discord-based AI image generation tool that uses text commands to create images. You can enter the prompt for the kind of picture you’re looking for, and the system will generate images for you.

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8 Best AI Music Generators for 2026 (Expert Reviews)

AI Tools Articles

Want to make music without a studio, gear, or years of practice? AI music generators give you an instant way to create songs, beats, and backing tracks — and in 2025, they’re better than ever.

Over 150 hours of testing, research, and comparison went into this guide. We looked at 20 of the AI music tools, and selected the top 8, testing everything from music quality and pricing to copyright policies and commercial use. Mubert AI came out on top for creators who need fast, safe, and flexible music generation.

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How to Build a Website With AI (2024 Guide)

AI Website Builders Articles

Building a professional website can have a painstaking learning curve.

While the traditional way offers complete control over how you want your website to be, it demands a significant investment of time, effort, and technical know-how in return.

However, in the past 5 years, the speed of integrating artificial intelligence into web development has greatly accelerated, making the process faster, more efficient, and accessible to everyone.

It goes without saying that if you’re not using AI to help build your website today, you’re wasting hours of precious time that could be better spent on more important aspects.

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Snapchat Lens Creator Spotlight: Ger Killeen

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For Oregon-based Gerard Killeen, the interaction of the user and his lenses is paramount. The Lens Creator, who also writes poetry among other endeavors, strives to bring joy and introspection to his work.

Though some of his lenses lean toward the macabre (beware, Arachnophobs), many are intriguing, funny, and totally imaginative. I caught up with Killeen to learn more about his process.

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Optimizing a HuggingFace Transformer Model for Toxic Speech Detection

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As someone who has designed neural networks destined for real-time use on mobile devices, state-of-the-art NLP models like transformers have always felt off limits.

Standard configurations for a model like BERT can easily tip the scales at over 1GB in size with more extreme versions 10 to 100 times larger than that. Recent advances in distillation and quantization, however, motivated me to reconsider my assumptions that NLP was something only accessible with multiple high-end GPUs.

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Creating a 17 KB style transfer model with layer pruning and quantization

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There are now a bunch of off-the-shelf tools for training artistic style transfer models and thousands of open source implementations. Most use a variation of the network architecture described by Johnson et al to perform fast, feed-forward stylization.

As a result, the majority of the style transfer models you find are the same size: 7MB. That’s not an unreasonably large asset to add to your application, but it’s also not insignificant.

Research suggests that neural networks are often way larger than they need to be—that many of the millions of weights they contain are insignificant and needlessly precise. So I wondered: What’s the smallest model I can create that still reliably performs style transfer?

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Analyze and Visualize Detected Video Objects Using Keras and ImageAI

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Last month, I wrote an article that explored the nature of videos and how to use Keras, OpenCV, and ImageAI to easily run object detection code on videos and a live camera feed. If you haven’t read this article, kindly visit this link, as it will be very helpful in understanding what will be covered in this post.

The previous article walked us through installing all the Python dependencies, downloading the detection models, running the code on both video files and a live camera feed, and saving the detected video.

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