Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads ...

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 ...

Strengthens IP portfolio and supports development of triple-negative breast cancer treatment through 2040REDMOND, Wash., Aug.

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 ...

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

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

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.