Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
The European Union Aviation Safety Agency (EASA) and Daedalean published their second joint report Concepts of Design Assurance for Neural Networks (CoDANN) II, on May 21 to explain key machine ...
COLUMBUS, Ohio – A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the ...
The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.