Decoded circuits reveal how brain cell networks stabilize memory formation

Newly decoded brain circuits make memories more stable as part of learning, according to a study led by NYU Langone Health ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Sparse Memory Taps-Injected Neural Network for Digital Predistortion of RF Power Amplifiers

Abstract: Neural network (NN) has been widely applied in radio frequency power amplifier (RFPA) digital predistortion (DPD) due to its robust nonlinear fitting capability. Conventional NN DPD ...
IEEE

Enhancing Predictive Accuracy of LSTM Neural Networks for Diabetes Risk through K-Fold Cross-Validation: Comparison with K-Nearest Neighbors and Expert Systems

Abstract: Diabetes is a metabolic disease with a rapidly increasing prevalence worldwide. Developing accurate diabetes risk prediction methods is crucial to enable earlier intervention and optimize ...