Semiconductor Engineering

Detecting Chemical Variability At Advanced Nodes

Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...
eLife

Designing optimal perturbation inputs for system identification in neuroscience

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
The White House

Fact Sheet: President Donald J. Trump Imposes a Temporary Import Duty to Address Fundamental International Payment Problems

PROTECTING THE U.S. ECONOMY AND NATIONAL INTERESTS: Today, President Donald J. Trump signed a Proclamation imposing a temporary import duty to address fundamental international payments problems and ...
IEEE

Node Attention-Embedded Broad Learning Method for Few-Shot Specific Emitter Identification

Abstract: In non-cooperative communication reconnaissance scenarios, the limited number of intercepted signals introduces the few-shot specific emitter identification (SEI) problem. Deep ...
IEEE

Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning

Abstract: There are many heterogeneous graphs in the real world, including reference, movie, medical, and transportation networks. In the real world, heterogeneous graphs often have multiple types of ...