Nature

Vector Quantization and Learning Algorithms

Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...
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 ...
ZDNet

Pinecone, a serverless vector database for machine learning, leaves stealth with $10M funding

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing's Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone's ...
JSTOR Daily

Automatic plankton image recognition with co-occurrence matrices and Support Vector Machine

ABSTRACT: A long-standing problem in plankton ecology is sparseness of taxa-specific data. New optical imaging systems are becoming available which can acquire high-resolution data on the abundance ...
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 ...