Creative artificial intelligence is the latest and, in some ways, most surprising and exhilarating art form in the world. It also isn't fully formed yet. That tension is causing some confusion. If you're familiar at all with the use of creative artificial intelligence, you probably know it through one of the popular text-to-image AI applications, which use sprawling databases of existing imagery to convert a written prompt into a new picture. DALL-E 2 from OpenAI is the best known, but more recent and arguably cooler applications include Midjourney and Stable Diffusion.

A place where all potential creative tools are collected? With direct links and short explanations -- for you to decide where to start your art? Well, here it is -- an ongoing index of all creative uses of AI. At least those being covered by Merzazine.

Artificial intelligence (AI) in fashion is no longer a secret and has widely been used to mostly help businesses to streamline processes and increase sales. But the skillsets of fashion designers and computer scientists are miles apart, so it's not until recently that the creative applications of AI in this industry have been explored. "Initial uses of artificial intelligence have focused on quantifiable business needs, which has allowed for start-ups to offer a service to brands," Matthew Drinkwater, head of the fashion innovation agency (FIA) at London College of Fashion (LCF), told Forbes. "Creativity is much more difficult to quantify and therefore more likely to follow behind." Seeing the opportunity for AI to play a bigger role in the creative process, LFC has launched an AI course aiming to develop creative fashion solutions and experiences that challenge the current approaches to fashion design.

That left-brained set of rigid algorithms is about to meet its right-brained counterpart. The key is that this new sort of software isn't replicating a set of rules to distort an image per human design. Rather, it is using sophisticated math to process visual information, extract unique patterns, and recursively learn what makes any particular artistic style unique. Then it can take off from there. Think of it as statistical intuition, not unlike our own instincts and gut impulses.