Make 2026 The Year You Actually Learn AI

To Integrate AI into existing workflows successfully requires experimentation and adaptation. The tools don't replace how you ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
IEEE

Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises

Abstract: This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast ...
IEEE

Digital Backpropagation for Subcarrier-Multiplexing Systems With Nonlinearity Compensation Fusion

Abstract: A novel simplified implementation structure is proposed for digital backpropagation in digital subcarrier-multiplexing systems (SCM-DBP) and one of its modifications, the SCM-DBP with ...
Microsoft

Gradients without Backpropagation

Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case ...