Welcome to our June 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we find out about meta-learning, explore the importance of images in communicating about AI, and ponder over who to vote for in the AI Song Contest. In the latest episode of New voices in AI, Oumaima Hajri shares her work and journey in ethical AI. Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, and Satinder Singh won an ICLR 2022 outstanding paper award for their work Bootstrapped meta-learning. We spoke to Sebastian about how the team approached the problem of meta-learning, how their algorithm performs, and plans for future work.

Research collaborators propose that animal ecologists can capitalize on large datasets generated by modern sensors by combining machine learning approaches with domain knowledge.

The 2020 Eurovision Song Contest may have been cancelled, but fans of formulaic pop can still get their fill courtesy of the VPRO AI Song Contest. The contestants and their entries were revealed on 10 April and the public have until 10 May to cast their votes. Thirteen teams have entered, with the competition open to anyone residing in a country eligible to take part in the traditional Eurovision extravaganza. The contestants have used a variety of machine learning techniques to help create their songs, with the teams relying on computer input to different degrees. All artists were keen to stress that, rather than pressing a button and letting their trained algorithms create the entire piece, their work is a result of collaboration between AI and humans.