Towards Understandable Neural Networks for High Level AI Tasks - Part 3

Towards understandable neural networks for high level AI tasks - Part III Overview of talk series: Current AI software relies increasingly on neural networks (NNs). The universal data structure of NNs is the numerical vector of activity levels of model neurons, typically with activity distributed widely over many neurons. Can NNs in principle achieve human-like performance in higher cognitive domains - such as inference, planning, grammar - where theories in AI, cognitive science, and linguistics have lon