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 ...

The research team says it wants to use machine learning models to design hash functions for other types of data and plans to explore learned hashing for databases in which data can be inserted or ...