Musical agents are artificial agents that tackle musical creative tasks, partially or completely.
This review of musical agents combines the terminology of Generative Arts (artistic practice) …

Although deep neural networks have achieved state-of-the-art performance in several
artificial intelligence applications in the past decade, they are still hard to understand. In …

Deep generative neural networks have proven effective at both conditional and
unconditional modeling of complex data distributions. Conditional generation enables …

The rise of intelligent systems and smart spaces has opened up new opportunities for
human–machine collaborations. Interactive Machine Learning (IML) contribute to fostering …

Engaging end user groups with machine learning (ML) models can help align the design of
predictive systems with people's needs and expectations. We present a co-design study …

Short online videos have become the dominating media on social platforms. However,
finding suitable music to accompany videos can be a challenging task to some video …

This paper investigates sound and music interactions arising from the use of
electromyography (EMG) to instrumentalise signals from muscle exertion of the human body …

The continuous fusion of artificial intelligence (AI) and autonomous farming machinery (eg,
drones and field robots) provides a significant shift in the daily work experience of farmers …

In response to users' demand for privacy, trust and control over their data, executing
machine learning tasks at the edge of the system has the potential to make the Internet of …

Co-design is a widely applied design process with well-documented values, including
mutual learning and collective creativity. However, the real-world challenges of conducting …