Discover how Merkle trees provide secure and efficient data verification in blockchain technology, ensuring the integrity and ...

Bloom filters are an essential class of probabilistic data structures designed for rapid set membership testing while minimising memory usage. By utilising multiple hash functions, these structures ...

A multi-institutional team of researchers led by MIT has found a new way to speed up data retrieval in large databases using machine learning. The researchers used machine learning to build better ...

Hashing refers to the process of using an algorithm to transform data of any size into a unique fixed sized output (e.g., combination of numbers). To put it in layman’s term, some piece of information ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

A hash is kinda trash. Or, more precisely, not only will hashing data not anonymize it, but regulators, including the Federal Trade Commission, consider hashed identifiers to be personal information.

Path’s big 2.1 release today comes with a promise of another update coming shortly: version 2.1.1. The extra .1 on the end represents Path’s intention to add “hashing” to any contact data it collects.