AIhub monthly digest: November 2021 – avoiding hype, musical dissonance, and AI thanksgiving

Welcome to our November 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. We have a bumper edition this month covering science communication, avoiding AI hype, events, awards, AI thanksgiving, and much, much more. We have not one, but two discussions to bring you this month. The first, AIhub coffee corner: are deep learning's returns diminishing?, was stimulated by an article that appeared recently in IEEE Spectrum. The article reported that deep-learning models are becoming more and more accurate, but that the computing power needed to achieve this accuracy is increasing at such a rate that, to further reduce the error, the cost and environmental impact is going to be unsustainably high.