The study of Dirac-harmonic maps sits at the intersection of differential geometry and quantum field theory, uniting concepts from harmonic maps and spinor fields into a single elegant framework.

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Discover how optical fibres can revolutionize AI computing with speed, efficiency, and accuracy using the physics of light.

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...