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 ...