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Efficient and robust associative memory from a generalized Bloom filter
1Cavendish Laboratory, Cambridge University, Cambridge, UK. sterne@fias.uni-frankfurt.de
Abstract:
We develop a variant of a Bloom filter that is robust to hardware failure and show how it can be used as an efficient associative memory. We define a measure of the information recall and show that our new associative memory is able to recall more than twice as much information as a Hopfield network. The extra efficiency of our associative memory is all the more remarkable as it uses only bits while the Hopfield network uses integers.
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