Hopfield networks seem to be an old and outdated technology.
However, new advances have been made in recent years that open up the possibility to integrate continuous modern Hopfield Networks as layers into deep learning architectures. This talk introduces modern Hopfield Networks and discusses potentially resulting new architectures and use cases.