Tech Xplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Tech Xplore

Making simulations more accurate than ever with deep learning

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
IEEE

A Lightweight Model for Detecting Cyberthreats Using Machine Learning Techniques

Abstract: This research presents an innovative approach to enhance the security of Industrial Internet of Things (IIoT) networks through advanced intrusion detection. Utilizing the CICIDS2017 dataset, ...
Opinion
Scientific Research PublishingOpinion

Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI Research Methods ()

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...
Morningstar

A First-of-Its-Kind, Formula-Free Guide to AI and Machine Learning for Decision Makers, by Corina J. Shtir, PhD

SAN DIEGO, Nov. 18, 2025 /PRNewswire/ -- AI and Machine Learning Unpacked: A Practical Guide for Decision Makers in Life Sciences and Healthcare by Corina J. Shtir ...
IEEE

Predicting Restaurant Ratings: A Comparative Study of Linear Regression and Decision Tree Regression Models in Machine Learning Technology

Abstract: Are you interested in trying new food and exploring new places, but unsure where to start? This research uses machine learning to predict restaurant ratings. The article compares two options ...