In addition to traditional tasks such as prediction, classification and translation, deep
learning is receiving growing attention as an approach for music generation, as witnessed …

The richness of organizational learning relies on the ability of humans to develop diverse
patterns of action by actively engaging with their environments and applying substantive …

Alongside recent advances in artificial intelligence (AI), a new art practice has emerged in
recent years that borrows and transforms these advances in the production of artworks. The …

The Internet of Musical Things (IoMusT) is an emerging research field positioned at the
intersection of Internet of Things, new interfaces for musical expression, ubiquitous music …

Diffusion models have shown promising results in cross-modal generation tasks, including
text-to-image and text-to-audio generation. However, generating music, as a special type of …

The current wave of deep learning (the hyper-vitamined return of artificial neural networks)
applies not only to traditional statistical machine learning tasks: prediction and classification …

A set of prominent designers embarked on a research journey to explore aesthetics in
movement-based design. Here we unpack one of the design sensitivities unique to our …

Generative Art is a creative approach that has found applications in several artistic
disciplines. In some of these disciplines, formalization has historically played an important …

Human-centered approaches to machine learning have established theoretical foundations,
design principles and interaction techniques to facilitate end-user interaction with machine …

Smart musical instruments (SMIs) are a family of Internet of Musical Things devices for music
creation. They are characterized by sensors, actuators, embedded intelligence, and wireless …