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 ...

In a recent blog post, the FTC again cautioned entities that hashing data does not make that data anonymous. Hashing is a process that takes a particular input, such as a phone number or email address ...