Tech Xplore

Small changes make some AI systems more brain-like than others

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...
Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
IEEE

Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using Vibroarthrographic Signals

Abstract: Osteoarthritis (OA) of the knee is a leading cause of joint pain and mobility loss. Early diagnosis is crucial for effective management yet remains challenging with traditional imaging ...
Frontiers

Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models

1 Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States 2 Weill Cornell Medicine, Cornell University, New York, NY, United States Background: Accurate ...
Frontiers

Time-domain electromagnetic inversion and application for VTI media based on convolutional neural networks

1 College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, Hubei, China 2 Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze ...
C&EN

Transfer-Learning Deep Raman Models Using Semiempirical Quantum Chemistry

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...
IEEE

1D Convolutional Neural Network-Based Hierarchical Classification of Eye Movements Using Noncontact Electrooculography

Abstract: This study addresses the discomfort and challenges posed by traditional electrooculography (EOG) measurement methods that require skin-contact electrodes by developing a non-contact EOG ...
C&EN

Recent Advances in the Modeling of Ionic Liquids Using Artificial Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper reviews the recent and most impactful advancements in the application of ...