Dear all, we will run a workshop on Bio-inspired active AI on Wed. 20 July 2022 at CNS*2022 in Melbourne. The details of the workshop topic are below and a preliminary list of invited talks is at http://users.sussex.ac.uk/~tn41/CNS2022_workshop/ We have time for some contributed talks and invite submissions of short titles/ abstracts. Please send your submission to me (t.nowotny@sussex.ac.uk) by Thursday, 30th June 2022. There is one workshop fee waiver available for an early career researcher if they are accepted for a contributed talk. Thanks & kind regards, Thomas --- CNS*2022 Workshop on Bio-inspired active AI<http://users.sussex.ac.uk/~tn41/CNS2022_workshop/> Recent advances in AI and notably in deep learning, have proven incredibly successful in creating solutions to specific complex problems (e.g. beating the best human players at Go, and driving cars through cities). But as we learn more about these approaches, their limitations are becoming more apparent in terms of high energy consumption, fragility, and lack of transferability between tasks. These limitations are particularly apparent when contrasted with naturally evolved intelligence. While no animals can play Go or drive cars, they are incredibly good at doing what they have evolved to do. For instance, ants learn how to forage effectively despite their tiny brains and minimal exploration of their world. We argue this difference comes about because natural intelligence is a property of closed-loop brain-body-environment interactions. Evolved innate behaviours in concert with specialised sensors and neural circuits extract and encode task-relevant information with maximal efficiency, aided by mechanisms of selective attention that focus learning on task-relevant features. In this workshop, we will explore how we can learn from mini-brains, and computational models to better understand intelligence and pave the pathway to building better AI. -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>