News

Nature1mon

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 ...
Morningstar1mon

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 Elastic (NYSE: ESTC), the ...
Design-Reuse5y

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 ...
Yahoo Finance1y

CIBC furthers its commitment to AI learning and research through the Vector Institute

TORONTO, Aug. 1, 2024 /CNW/ - CIBC announced today that it is strengthening its relationship with the Vector Institute, an independent, not for profit corporation dedicated to advancing the field of ...
InfoWorld5y

Deep learning vs. machine learning: Understand the differences

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...
Business Wire1mon

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 ...