Ann Bp

Approximate Nearest Neighbor (ANN) search is a crucial area of research focused on efficiently finding data points closest to a query point in high-dimensional spaces. Current efforts concentrate on improving ANN search accuracy and efficiency for diverse and complex data types, including sparse and streaming data, through novel indexing structures and algorithms, as well as exploring the use of spiking neural networks (SNNs) alongside artificial neural networks (ANNs) for improved energy efficiency and speed. These advancements have significant implications for various applications, including computer vision, brain-machine interfaces, and data analysis, by enabling faster and more accurate information retrieval and processing.