When a physicist performs a quantic measurement, new information about the system at hand is gathered. This presentation studies the logical properties of how this new information...
This paper proposes an original approach to the reliability analysis for Embryonics [4], by introducing the accuracy threshold measure, borrowed from fault-tolerant quantum comput...
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
— Compared with a single level Hamming associative memory, a simple model based on uniform random noise analysis has proved a twolevel decoupled Hamming network to be an efficie...