KAUST is hosting the Marine Megafauna Movement Workshop (October 19-20) featuring international speakers showcasing research on marine animal behavior using sensors and analytics. Enrichment in the Fall 2015 (October 16-24) at KAUST will focus on marine animal movement with lectures, trips, movies, and music. KAUST aims to merge research on marine animal movement with the study of human mobility to gain new insights. Why it matters: This interdisciplinary approach could advance understanding of both marine ecosystems and human behavior, while promoting marine conservation efforts in the Red Sea.
MBZUAI and the Abu Dhabi Music and Arts Foundation (ADMAF) hosted the fourth edition of Mailis, focusing on AI's impact on the arts. The event, part of ADMAF’s Riwaq Al Fikr initiative, featured discussions on AI's role in music, visual art, and creative expression. A panel including MBZUAI's Gus Xia explored AI's creative potential in filmmaking and music. Why it matters: This collaboration highlights the growing interest in exploring the intersection of AI and culture in the UAE, potentially fostering new forms of artistic expression and cultural preservation.
MBZUAI's Associate Professor of Machine Learning, Gus Xia, will co-teach an introductory AI course with Monojit Choudhury, emphasizing experiential learning and fundamental principles. Xia's background spans computer science, music, and metaphysics, aiming to inspire students to innovate in AI. More than 100 students will join MBZUAI's Bachelor of Science in Artificial Intelligence program. Why it matters: This interdisciplinary approach at MBZUAI could cultivate a new generation of AI researchers with diverse perspectives and innovative problem-solving skills.
MBZUAI researchers found that only 5.7% of music in existing datasets used to train generative music systems comes from non-Western genres. They discovered that 94% of the music represented Western music, while Africa, the Middle East, and South Asia accounted for only 0.3%, 0.4%, and 0.9% respectively. The team also tested whether parameter-efficient fine-tuning with adapters could improve generative music systems on underrepresented styles, presenting their findings at NAACL. Why it matters: This research highlights the critical need for more diverse datasets in AI music generation to better serve global musical traditions and audiences.
This article discusses a talk on "Assistive Augmentation," designing human-computer interfaces to augment human abilities. Examples include 'AiSee' for blind users, 'Prospero' for memory training, and 'MuSS-Bits' for deaf users to feel music. Suranga Nanayakkara from the National University of Singapore will present the talk, highlighting insights from psychology, human-centered machine learning, and design thinking. Why it matters: Such assistive technologies can significantly improve the quality of life for individuals with disabilities and extend human capabilities.
The Abu Dhabi Music & Arts Foundation (ADMAF) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed a Memorandum of Understanding (MoU) to co-curate a program involving international professors, artists, and scientists. The collaboration will focus on STEAM projects, artist residencies, and publishing research papers. The partnership was announced in conjunction with the Riwaq Al Fikr talk exploring AI's implications for the music and creative industries. Why it matters: This MoU signifies a growing trend of integrating AI with arts and culture in the UAE, potentially fostering innovation and new forms of artistic expression.
Gus Xia, assistant professor of machine learning at MBZUAI, is exploring how teaching robots music can enhance their interaction with humans. Xia collaborates with robots on musical compositions as part of this research. He also holds affiliations at NYU Shanghai, Tandon, CILVR, and MARL, and has a Ph.D. from CMU. Why it matters: This interdisciplinary approach could lead to more intuitive and empathetic AI systems in the future.
MBZUAI Visiting Assistant Professor Gus Xia studies music to understand how AI can act more human-like in high-context activities. Xia analyzes and creates music with computers to explore the differences between human and machine perception. He aims to leverage music's abstract nature to study creative intelligence in AI. Why it matters: This research could lead to AI systems that interact more naturally with humans, particularly in creative fields.