The LancetOpinion

Cloud computing for equitable, data-driven dementia medicine

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...
Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Security Boulevard

How Quantum Computing Will Transform Data Security, AI, and Cloud Systems

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
University of Surrey

Xiaolong Han

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...
C&EN

Prediction of Methane Adsorption Isotherms in Metal–Organic Frameworks by Neural Networks: Two-Dimensional Energy Gradient Feature and Masked Learning Mechanism

School of Chemistry, Chemical Engineering & Life Sciences, Wuhan University of Technology, Wuhan 430070, China ...
IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
IEEE

Online Learning of Noisy Functions via a Data-Regularized Gradient-Descent Approach

Abstract: Online first-order algorithms for function identification and regression with noisy data often rely on replacing actual gradients with their constructed noisy estimates. Stochastic gradient ...