What Transformers Mean For The Future Of Predictive Analytics

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

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.
IEEE

Hallucinations in Abstractive Text Summarization with Large Language Models

Abstract: Abstractive text summarization uses the summarizer’s own words to capture the main information of a source document in a summary. While it is more challenging to automate than extractive ...
dvm360

Fostering curiosity in veterinary science

Mars Veterinary Health recently published its’ 2025 Science Impact Report, which provided a review of the company’s veterinary research and global initiatives that aim to adva ...
IEEE

Early Detection of Alzheimer’s Disease Using Vision Transformers on CWT-Transformed EEG Signals in Response to Olfactory Stimuli

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that significantly impairs cognitive function, which can potentially hinder global healthcare systems. Early and accurate ...