I'll be giving an invited talk on Music and AI: Generating Music and More!, coming Friday at the One-North Festival. The one-north Festival is an annual celebration of research, innovation, creativity and enterprise. Jointly organised by the Agency for Science, Technology and Research (A*STAR) and JTC, and supported by Science Centre Singapore, this very exciting event welcomes the public to immerse in science and technology through fun interactive displays, inspiring talks, workshops and tours for the whole family.

Last week the National University of Singapore hosted the International Society for Music Information Retrieval conference in lovely Suzhou, China. It featured a ton of interesting presentations by established academics in the field including Prof. Elaine Chew (who also talked about MorpheuS), Roger Dannenberg and others; but also industry leaders such as Jeffrey C. Smith (Smule) and E. Humprey (Spotify).

The magazine Vice.com reported on the research I conducted with David Martens and Kenneth Sörensen at the University of Antwerp on dance hit prediction.

"Hit songs are getting so predictable. No, literally. The recipe for what makes a pop or dance song a hit has apparently become so formulaic, a computer algorithm can predict with above-average accuracy the likelihood that a song will top the charts."

I'm happy to announce that the latest issue of Journal of New Music Research (special issue on Music and Machine Learning) features a publication about Dance Hit Prediction