Why 2026 belongs to multimodal AI

This is AI 2.0: not just retrieving information faster, but experiencing intelligence through sound, visuals, motion, and ...
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

Hierarchical Multimodal Federated Learning Over Cell-Free Massive MIMO Systems

Abstract: Cell-Free massive MIMO (CF-mMIMO) is a promising technology for enabling Federated Learning (FL) in the next generation of wireless networks due to its uniform service coverage. However, ...
GitHub

MIMA: Multimodal Integration with Modality-agnostic Autoencoders

Cross-modal learning, where information from one modality can inform another. Biological signal disentanglement, distinguishing true biological variation from technical noise. Batch effect correction, ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
GitHub

ha0xin/chatgpt-multimodal-exporter

ChatGPT Multimodal Exporter is a Tampermonkey/Violentmonkey userscript that extends the ChatGPT web app with export capabilities. The script allows users to export ...
IEEE

A Multimodal Federated Learning Framework for Remote Sensing Image Classification

Abstract: Federated learning (FL) enables the collaborative training of deep neural networks across decentralized data archives (i.e., clients) without sharing the local data of the clients. Most of ...