The AI Song Contest was founded with the aim of showcasing the potential of human-AI co-creativity in the songwriting process. Now in its sixth year, the competition will conclude on 16 November with a live show in Amsterdam. From all the entrants, the jury have selected their top ten songs. The live event will feature performances from the ten finalists, and you will be able to watch on YouTube here . Listen to the songs and vote for your favourite.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we find out about aligning generative AI with technical standards, learn how machine learning can be applied to semiconductor manufacturing, investigate social choice problems, and hear about the return of the AI Song Contest. We continued our series meeting the AAAI/SIGAI Doctoral Consortium participants in this interview with Joseph Marvin Imperial. Joseph is based at the University of Bath, focusing on aligning generative AI with technical standards for regulatory and operational compliance. Amina Mević is another AAAI/SIGAI Doctoral Consortium participant, working at the intersection of machine learning, physics, mathematics, and semiconductor technology.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we learn about research towards safe and reliable AI agent behaviour, discuss generative AI hype, congratulate the Nobel Prize winners in physics and chemistry, and take a tour of recent conferences. In the latest in our series of interviews featuring the AAAI/ACM SIGAI doctoral consortium participants, we heard from Pulkit Verma about his research on safe and reliable behavior of AI agents. He is currently investigating the minimal set of requirements in an AI system that would enable a user to assess and understand the limits of its safe operability. There has been a string of articles recently about the end of generative AI hype.

Amid flamboyant performances, flashy costumes and pyrotechnics, the Eurovision Song Contest is probably one of the weirdest, most peculiar shows ever to grace our screens. It's the kind of event that an alien species or an emotionless android would have a hard time understanding, were they watching Europe tune into the annual celebration of kitsch, patriotism and unity. But could machines understand - and reproduce - such a uniquely human experience? The answer could be found at the AI Song Contest, a Eurovision-inspired music competition where all the songs are written by artificial intelligence. Since its creation in 2020, the song contest has been hosted every year by the Belgian city of Liège, where teams of data scientists, programmers, and musicians from all over the world participate with the compositions they have created with the help of AI.

Welcome to our July 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 report on IJCAI-ECAI, ICML and RoboCup, listen to the first episode of the GRACE podcast, and find out who won the AI Song Contest. Back as an in-person event for the first time since 2019, Bangkok played host to RoboCup2022, where around 1500 participants, from 39 different countries took part in competitions and a symposium. You can see the programme of events here, and there are links to the recordings of the competitions for some of the leagues here. If you are interested in reading our interviews from last year with members of the different leagues, these can be found here.

On 6 July, the organisers of the AI Song Contest revealed the winner of this year's competition. What makes this song stand out is that it uses Thai tuning. Most AI models are rooted in Western definitions of melody, harmony and tuning. This means that models can only output notes on the 12-note Western scale, making it very difficult to apply machine learning to music from many musical cultures around the world. In his submission, Lamtharn aimed to demonstrate "how advancements in realtime audio machine learning enable unprecedented audio synthesis with respect to a culture's native tuning".

Welcome to our February 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 cover our latest New voices in AI interview, hear from a NeurIPS award winner, and get stuck into AAAI 2022. You may have seen the launch of our new series last month. In the latest episode, Isabel Cachola talks about how she got into AI and her work on interpretability of NLP models. In this interview, Bernard Koch tells us about research that won him, and co-authors Emily Denton, Alex Hanna and Jacob Foster, a best paper prize at NeurIPS 2021.

Welcome to our July 2021 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. In this edition we cover ICML 2021, celebrate award winners, check out new AI reports and strategies, and find out who won the AI Song Contest. This month saw the running of the thirty eighth International Conference on Machine Learning (ICML). There were a huge variety of events, including talks, workshops, tutorial, and socials. We were in (virtual) attendance and managed to catch all of the invited talks.