It has been said that text to image A.I. generated art has no soul, but I disagree.
Machine learning for generative art functions by sampling a dataset containing millions of images. If we consider that every image that has ever been created is, in essence, an expression of our subconscious and emotional state, then by using machine learning to analyze this vast resource and generate images based solely on emotive expressions, we hope to discover a global collective subconscious representation of our emotions and thus an underlying expression of our humanity.
This portfolio contains 55 digital expressions of our emotions as interpreted by machine learning and represented in minimalist geometric abstract form.
