Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
InfoWorld

Edge AI: The future of AI inference is smarter local compute

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
IEEE

MuQ: Self-Supervised Music Representation Learning With Mel Residual Vector Quantization

Abstract: Recent years have witnessed the success of foundation models pre-trained with self-supervised learning (SSL) in various music informatics understanding tasks, including music tagging, ...
Scientific Research Publishing

Al-Sultani, Z.N. (2012) Learning Vector Quantization (LVQ) and k-Nearest Neighbor for Intrusion Classification. World of Computer Science and Information Technology Journal, 2 ...

ABSTRACT: In the past decade, Internet Of Things (IOT) technology has become one of the fastest-growing and most widely used technologies and is rapidly becoming a basic feature of global civilization ...
istockphoto

Learning English stock illustrations

English. Language hand drawn doodles and lettering. Education vector illustration. Language exchange, school courses, communication with foreigners. Language exchange, school courses, communication ...
IEEE

Vector Quantization-Based Clustered Federated Learning With Global Feature Anchors for Improved Representation and Generalization

Abstract: Clustered federated learning (CFL) addresses the challenge of data heterogeneity in federated learning (FL) by customizing models for different groups of clients. However, existing CFL ...
Seeking Alpha

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 SAN FRANCISCO--(BUSINESS ...
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 ...
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 ...
GitHub

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey

2014_IEEE Multimedia_PRVQ_Projected residual vector quantization for ANN search. [IEEE] 2015_arXiv_IRVQ_Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. ...
Frontiers

Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma

Background: Lung adenocarcinoma (LUAD) is a major cause of cancer-related mortality worldwide. Tumor-associated macrophages (TAMs) play a crucial role in the tumor microenvironment (TME), influencing ...