BIOENGINEER

Enhancing BNN storage and performance requirements via efficient quantization and variable encoding

Binary neural networks have long promised to bring deep learning to the smallest and most power-hungry devices on the planet.
GlobalSpec

Chapter 7: Watermarking Based on Vector Quantization

Vector quantization had been distinguished for its high compression rate in lossy data compression applications. To be of practical significance, a digital watermarking technique should take into ...
Business Wire

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

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. Users ...
GlobalSpec

3.6: Vector Quantization

Quantization is the process by which an analog signal, having a continuous range of possible values, is divided into a limited set of discrete steps. The most common quantization procedure is scalar, ...
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 ...
BIOENGINEER

Neural Networks Trained on a 24-Dimensional Lattice Could Shrink AI to 0.76 Bits per Weight

A new theoretical framework trains neural networks natively on the Leech lattice, compressing weights to 0.76 bits per ...
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 ...