IEEE

Self-Organized Graph Neural Network with Adaptive Boosting Support Vector Regression Prediction Model for Smart Traffic Management System

Abstract: Advancement in technology has led path for automated road traffic management software in order to minimize the road traffic. The prediction of road traffic helps to maintain the harmony in ...
Frontiers

Assessing the rereading effect of digital reading through eye movements using artificial neural networks

1 CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Objective: This study aimed to ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Live Science

AI is entering an 'unprecedented regime.' Should we stop it — and can we — before it destroys us?

People made intermittent progress in the field, but machine learning and artificial neural networks gained further in the 1980s, when John Hopfield and Geoffrey Hinton worked out how to build machines ...
IEEE

Artificial Neural Network Based model for single event upset current prediction in 14 nm FinFET

Abstract: A surrogate model of Single Event Upset (SEU) transient current for circuit-level modeling is presented in this work using machine learning regression. The use of FinFET technology in ...
Frontiers

Groundwater fluoride modeling using an artificial neural network: a review

Groundwater fluoride contamination poses serious health effects to humans, as excess amounts of fluoride can cause skeletal and dental fluorosis. The problem is critical in areas where the aquifers ...
GitHub

ProbNet: A Unified Probabilistic Neural Network Framework for Classification and Regression Tasks

Please include these citations if you plan to use this library: We welcome contributions to ProbNet! If you have suggestions, improvements, or bug fixes, feel free to fork the repository, create a ...
GitHub

Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence

Dharmesh Tailor, Alvaro H.C. Correia, Eric Nalisnick and Christos Louizos. "Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence." [ICLR2025] Qualcomm AI ...