European Medical Journal

MALDI Imaging Advances Rare Ampullary Cancer Diagnosis

Matrix assisted laser desorption ionisation imaging combined with machine learning may improve rare ampullary cancer ...

Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...
Devdiscourse

Quantum machine learning shows promise for adaptive learning, but classrooms are not ready

Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...
JD Supra

Generative AI in eDiscovery Review – Do the Right Thing and Prove It

Last month, the Sedona Conference Working Group 13 Annual Meeting and the ASU Arkfeld Conference on eDiscovery, Law, and ...
Tech Xplore

Hybrid AI architecture could turn neuromorphic systems into reliable discovery machines

The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, ...
The Next Web

I built a machine learning model to predict who leaves tech jobs early. The results surprised me.

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.
Lane Report

UPIKE professor awarded ACA Fellowship for machine learning particle physics research

Samuel D. Lane, Ph.D., assistant professor of physics at the University of Pikeville (UPIKE), has been awarded a 2025-26 ...
IEEE

Classification of Feature Engineering Techniques for Machine Learning under the Environment of Lattice Ordered T-Bipolar Soft Rings

Abstract: The practice of adding new features or changing current features to enhance a machine-learning model’s performance is known as feature engineering. It increases the prediction potential of ...
News-Medical.Net

AI-driven model predicts type 1 diabetes risk with greater accuracy

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...
Visual Studio Magazine

Multi-Class Classification Using LightGBM

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...