Nature

Unifying fragmented perspectives with additive deep learning for high-dimensional models from partial faceted datasets

Biological systems are complex networks where measurable functions emerge from interactions among thousands of components. Many studies aim to link biological function with molecular elements, yet ...
Nature

Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects

Machine learning (ML) has increased greatly in both popularity and significance, driven by an increase in methods, computing power and data availability 1, making it an useful tool in the development ...
EurekAlert!

Machine learning-assisted metal additive manufacturing forming: a review

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...
Semiconductor Engineering

AI Meets Device Modeling: Transforming Compact Modeling With Machine Learning

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...