Tracing anglers in the Gulf Coast: New machine learning tools reveal when, where and how anglers fish

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Biometric Update

USCIS explores remote identity verification for immigration services

U.S. Citizenship and Immigration Services (USCIS) issued a Request for Information from on remote document authentication and ...

From Documents to Insight: How AI Is Transforming Modern Business

Manual document processing is slowing businesses down. Discover how AI-powered document intelligence helps teams automate invoices, contracts, expenses, and workflows—turning everyday documents into ...

Streamlining High-Volume Document Workflows

Automated Document Capture for Enterprises Austin, United States - March 25, 2026 / Upland Software, Inc. / Upland ...
IEEE

Development of Deep Learning Methods for Visual Document Classification Using Hybrid Vision Transformer–EfficientNet Architecture

Abstract: The rapid expansion of digital archives and scanned document collections has underscored the importance of reliable and efficient document classification techniques. Traditional methods that ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...