The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.
Abstract: Chord DHT (Distributed Hash Table) is a robust solution to a basic problem encountered in peer-to-peer (P2P) applications: efficiently locating the node that stores specific data items. In ...
It isn't often that a decades-old assumption underpinning modern technology is overturned, but a recent paper based on the work of an undergraduate and his two co-authors has done just that. That ...
Community driven content discussing all aspects of software development from DevOps to design patterns. A common problem in computing is to find out if a list contains duplicate entries. It’s also a ...
Abstract: This paper considers the basic question of how strong of a probabilistic guarantee can a hash table, storing $n(1+\Theta(1))\log n$-bit key/value pairs ...
In drug discovery, molecules are optimized towards desired properties. In this context, machine learning is used for extrapolation in drug discovery projects. The limits of extrapolation for ...
Identity networks are set of artifacts on Hedera Consensus Service that allow applications to share common channels to publish and resolve DID documents, issue verifiable credentials and control their ...
Locality Sensitive Hashing (LSH) is a family of hashing methods that tent to produce the same hash (or signature) for similar items. There exist different LSH functions, that each correspond to a ...
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