Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...

Machine learning approach helps researchers design better gene-delivery vehicles for gene therapy The method could accelerate the development of more effective adeno-associated viruses (AAVs) ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...

Ren, L. , Gui, X. and Ye, X. (2025) Design-Based Research on AIGC-Based Human-Machine Collaborative Strategy for English Reading. Open Journal of Social Sciences, 13, 128-144. doi: ...

Payman Benham, Sixu Li, Irene Wang, and William Won were chosen from over 150 applicants based on their machine learning (ML) ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

In a recent ACS Central Science study, scientists from the University of New South Wales (UNSW) discuss a machine learning (ML)-based tool that can detect PD years before the first onset of symptoms.