A new tool called PHOTON, developed by scientists at UT Southwestern Medical Center, can identify RNA molecules at their native locations within cells—providing valuable clues to where different RNA ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Unlike traditional neural network (NN) models that use a uniform activation function at the nodes, the core idea of the proposed LEANN model is to enhance the flexibility and interpretability of ...

Abstract: In some application scenarios, radio frequency (RF) devices face strict power consumption limits, necessitating digital predistortion (DPD) models with lower complexity. To address the needs ...