TechRepublic

Vector Quantization for Privacy During Big Data Analysis and for Compression of Big Data

Now-a-days, data on the web is increasing like water in the ocean. Big data is one of the emerging areas that deal with large velocity of data. “Big data is not defined in single world data sets that ...
Design-Reuse

Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference

This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
Nasdaq

Elastic Announces Faster Filtered Vector Search with ACORN-1 and Default Better Binary Quantization Compression

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications “We’re committed to giving ...