Ai imitates Nature

Diffusion. A fundamental process in nature, occurring throughout the universe and within living organisms. It involves the gradual and dynamic redistribution of particles within a system. This iterative process often occurs over time, as molecules and atoms slowly spread out across a given space. This iterative process occurs when particles (e.g. atoms, molecules, or ions) interact with one another and move through the surrounding medium. The particles can experience random collisions or find ways to assist each other in order to achieve easier movement. Furthermore, diffusion influences everything from metabolic reactions within cells to global patterns of ocean currents. Factors such as temperature and pressure can also play an important role in determining how particles diffuse, as they tend to move more quickly in warm systems and through open spaces. Despite the level of complexity involved in diffusion, this basic principle is fundamental to many biological, chemical, and physical systems. Ultimately, diffusion serves as a dynamic force that shapes the interconnected nature of our world.

Whether it takes place on a microscopic scale or across an entire planet, diffusion occurs in cycles and ultimately helps to shape our world around us. Thus, it can be said that diffusion is not only an example of iteration at work, but also a powerful force behind change itself. The Ai involved in image generation follows mathemathical models of these phenomena. The original Denoising Diffusion method was proposed by Sohl-Dickstein et al in 2015