National Law Review

Proposed Transparency in Coverage Rules Seek to Increase the Usefulness of Machine Readable Files

Having third party administrators (TPAs) and issuers create a separate file for each provider network they maintain, allowing ...
Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Data-driven analysis reveals three archetypes of armed conflicts

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop.
Devdiscourse

AI moves to the core of cyber defense as attacks grow more complex

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Devdiscourse

QR codes emerge as unlikely ally in the fight against card fraud

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
IEEE

Dynamic Belief Rule Learning for Classification with Expert in the Loop

Abstract: The belief rule-based classification system (BRBCS) has been explored as an effective and promising framework for designing classifiers, owing to its ability to create user-friendly ...