Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

What are the links between science, aesthetics and episteme sustaining the large deep
learning models known as AI image generators, such as Dall-e, StableDiffusion and …

Real-time music information retrieval (RT-MIR) has much potential to augment the
capabilities of traditional acoustic instruments. We develop RT-MIR techniques aimed at …

The development of AI-driven generative audio mirrors broader AI trends, often prioritizing
immediate accessibility at the expense of explainability. Consequently, integrating such …

Foundational models such as DALL-E and Stable Diffusion are trained on massive and
diverse datasets to fit as many needs and contexts as possible. On the other hand, artists …

Explainable Artificial Intelligence (XAI) has emerged as a significant area of research, with
diverse applications across various fields. In the realm of arts, the application and …

We present an artistic exploration into calligraphic Arabic script, focusing on the nastaliq
style predominant in Iran, by harnessing the affordances of Generative Adversarial Networks …

In this paper, we map out the landscape of options available to visual artists for creating
personal artworks, including crafting, adapting and navigating deep generative models …

While contemporary discourse on AI often fixates on large 'foundation'models, these types of
models often offer only limited ability for musicians to express their musical intentions and …

This paper explores the potential of generative AI within interactive art, employing a practice-
based research approach. It presents the interactive artwork" Visions of Destruction"(2023) …