De Dicto: Recent Episodes
Armins Bagrats Stepanjans
Cambridge Natural Language and Information Processing group's senior lecturer describes existing work and future directions in automated fact checking.
In this episode of De Dicto, Dr Devin Terhune joins me to sketch the complexity of time perception and its implications to building artificial intelligence.
Prof. Angelo Cangelosi discusses replicating baby learning patterns in robots, how a bug in the code resulted in psychology discovery, and why the elderly are fond of robots.
Emma Hodcroft discusses her research on applying data science to tracking Coronavirus (COVID-19) mutations. We discuss the implications of her analysis of governmental policies, medical solutions, and individual actions. We also discuss the biases present in the COVID-19 data and how they should be taken into account.