POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized configurations.

Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Aviation Business Middle East

How facial recognition is analysing aircraft engines

Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...

Canary Labs & SORBA.ai Announce Strategic Partnership to Deliver Native Historian-to-AI Stack to Industrial Enterprises

“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...
IEEE

A Review of Urban Building Extraction From Synthetic Aperture Radar Imagery Based on Deep Learning

Abstract: Urban building extraction from Synthetic Aperture Radar (SAR) imagery is a hot topic and remains challenging for wide applications. Recently, deep learning approaches, which have achieved ...
IEEE

A Novel Particle Swarm Optimization Algorithm-Based Approach for Green Automated Machine Learning

Abstract: With the increasing adoption of Artificial Intelligence (AI) in various domains, the environmental impact of AI models, particularly their carbon footprint, has become a critical concern.