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 ...

MIT researchers used machine learning to build better hash functions, which are a key element in most online databases. Their work could lead to faster and more efficient database searches in some ...

Hash functions simplify searching and indexing through databases and other data storage. Hash tables, a popular data structure known for fast response, rely on a good hash function as an index to ...

Seventy years after the invention of a data structure called a hash table, theoreticians have found the most efficient possible configuration for it.

A hash function such as SHA-1 is used to calculate an alphanumeric string that serves as the cryptographic representation of a file or a piece of data. This is called a digest and can serve as a ...