A combination of deep neural networks and vector-symbolic models
IBM Research Zürich and ETH Zürich researchers have recently developed a new architecture that combines two of the most well-known artificial intelligence approaches, deep neural networks and vector-symbolic models. Their architecture, described in Nature Machine Intelligence, has the potential to overcome the limitations of both approaches by solving progressive matrices and other reasoning tasks more … Read more