Following the Section’s Annual General Meeting (see AGM Report at: http://www.aesmelbourne.org.au/2019-agm-report/ ), Graeme Huon introduced our speaker Guillaume Potard who presented to us on Machine Learning/Artificial Intelligence and its relevance to the world of audio.

Guillaume started with a brief introduction to the concepts of ML and AI, introducing the concepts of artificial narrow intelligence (where it is designed for a very narrow speciality, like playing a specific game of skill, like Go), and artificial general intelligence, as in the human brain.
He went on to contrast the estimated performance of the human brain, at approx. 1000 petaflops (one thousand million floating point operations) operating at 200Hz with a power consumption of just 20 watts with the most powerful current supercomputers ( eg Tahne-2) at only 32 petaflops at GHZz ranges and with a power consumption of 25 Megawatts.