Underlying AI algorithms

When it comes to images and visual design, underlying AI algorithms play a vital role in automating and enhancing various tasks.

• Convolutional Neural Networks (CNNs): These are the go-to for image recognition and classification. They can analyze an image's visual elements, identifying patterns that can help in automating design tasks.
• Generative Adversarial Networks (GANs): Ideal for creating new, original visuals, these networks involve two neural nets "competing" with each other to generate increasingly refined images.
• Clustering Algorithms: Perfect for color palette selection, these algorithms group similar colors together, helping you choose harmonious and visually pleasing combinations.^[1]

Knowing the basics of these algorithms can help you make smarter choices when selecting AI tools for your design projects. It gives you an insight into what you can realistically expect from the technology, allowing you to use it more effectively.