Quasi-Autonomous AI Creativity with Quantum Computational Esthetics
AI has very much evolved since basic deep dreaming and Generative Adversarial Networks (GANs) in the past couple of years. Several GANs such as DCGan, BigGan, VQGan, StyleGan have been of immense utility for Generative Artists, Designers, and of course Machine Learning applications such as image detection and classification. However, those who thought that AI can create without any human intervention or supervision were off. Well, until quantum computing has started unleashing its incredible computational potential for the future.
In my next keynote speech (7 Mar 2022) I will be thrilled to unveil some of these predictions that quantum computing along with generative AI models and computational esthetics could make AI autonomously creative without necessarily having to make sense of this creativity. I will share the talk once it becomes public!
Originally published at https://alahay.org.
