Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...
Chromatography Online

Optimizing HSSE-GC-MS and Machine Learning for Forensic Gender Classification from Human Scent

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Scientific Research Publishing

A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of Mosquito-Borne Diseases ()

Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
Devdiscourse

How AI is used in wildfire management and where it falls short

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

KIOXIA Achieves 4.8 Billion High-Dimensional Vector Search Database on a Single Server, with 7.8x Index Build Time Acceleration via GPUs

Kioxia Corporation today announced the successful demonstration of achieving high-dimensional vector search scaling to 4.8 billion vectors on a single server with its open-source KIOXIA AiSAQ(TM) ...
Scientific Research Publishing

Efficiency of Classification Algorithms in Monitoring Land Use through Remote Sensing in Sissili Province of Burkina Faso ()

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
Seeking Alpha

Coinbase to buy Vector, expanding support for solana network

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...
ascopubs.org

Development and Validation of a Natural Language Processing Algorithm Using Electronic Health Record Data to Identify Breast Cancer Patients With Low Social Support

Olaparib, Pembrolizumab, and Carboplatin as First-Line Treatment of Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma: A Phase II Trial We built a natural language processing (NLP) ...
USA Today

Vector Algorithmics Explains Why Position Sizing is the Silent Risk

In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...