Browsing by Subject "Emergence"

The release of ChatGPT-4 has led to the prevalent use of a new term in the field of artificial intelligence (AI): generative AI. This paper aims to understand generative AI more thoroughly and place it within a broader framework of models and their relationship with knowledge. By closely examining AI’s historical development, this paper will first introduce the concept of emergence to distinguish generative AI from other forms of AI. Second, by theorizing generative AI as models, this paper will evaluate their significance in human knowledge production. Third, by classifying generative AI specifically as generative models, this paper will demonstrate their unique potential, especially for art creation.

This M.A. thesis in Computational Media is an exploration of how artificial neural networks could be used by an artist; it is a transdisciplinary study of topics in computer science, light art and installation art. The study culminates in the design and production of two installations that attempt to respond to the question: how does one draw on high-level Artificial Intelligence algorithms and human aesthetic intuition informed by contemporary and historical research of art history, to generate a new hybrid art form?

Here we show that vascular design emerges naturally when a volume is bathed by a single stream in turbulent flow. The stream enters the volume, spreads itself to bathe the volume, and then reconstitutes itself as a single stream before it exits the volume. We show that in the pursuit of a smaller global flow resistance and larger volumes, the flow architecture changes stepwise from a stack of identical elements bathed in parallel flow (like a deck of cards) to progressively more complex structures configured as trees matched canopy to canopy. The transition from one architecture to the next occurs at a precise volume size, which is identified. Each transition marks a decrease in the rate at which the global flow resistance increases with the volume size. This decrease accelerates as the volume size increases. The emergence of such vasculatures for turbulent flow is compared with the corresponding phenomenon when the flow is laminar. To predict this design generation phenomenon is essential to being able to scale up the designs of complex flow structures, from small scale models to life size models.