How Machine Learning Is Quietly Reshaping One of International Trade's Oldest Bottlenecks

LOS ANGELES, CA / ACCESS Newswire / June 11, 2026 / For most consumers, the journey of a package across international borders feels invisible. A box leaves a warehouse, crosses an ocean, and arrives ...

IIT Roorkee Opens Admissions for the 11th Batch of its Post Graduate Certificate in Data Science, Machine Learning & Generative AI

The Indian Institute of Technology Roorkee has opened admissions for the 11th batch of its Post Graduate Certificate in Data ...

Classiq and UC Chile Launch Quantum AI Research for Biomedical Image Analysis Leveraging Integration with NVIDIA CUDA-Q

Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathologySANTIAGO, Chile, ...
Glass Magazine

k-Space Introduces Machine Learning Upgrade for Inline Glass Defect Detection

Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement adds ...
Devdiscourse

Banks could strengthen credit card fraud screening with ensemble machine learning model

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...
Devdiscourse

How AI is reshaping UAV cybersecurity and where it falls short

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and published in Drones, maps AI-based cybersecurity research for unmanned aerial ...
TechFinancials on MSN

US-DATA expands global data annotation services for AI, computer vision and machine learning projects

New York, USA — US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models.US-DATA, a data annotation company specializing ...
IEEE

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout

Abstract: When facing a classification problem, data science practitioners must search through an armory of methods. Often, practitioners are tempted to use off-the-shelf classifiers, including ...
holisticai

Bias Mitigation Strategies and Techniques for Classification Tasks

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...
Business Wire

WorldQuant University Launches Deep Learning Fundamentals Lab, a Free, Hands-On AI Credential

WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.