Hash Function

Hash functions are algorithms that map data of arbitrary size to a fixed-size output, often used for data indexing, similarity search, and cryptography. Current research focuses on improving efficiency and accuracy in various applications, exploring techniques like locality-sensitive hashing (LSH), neural network-based hashing, and adaptive hashing methods tailored to specific data types (e.g., images, videos, gene sequences). These advancements are impacting diverse fields, from accelerating neural rendering and multimedia retrieval to enhancing privacy-preserving data analysis and improving the security of cryptographic systems.