Why 2026 belongs to multimodal AI

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

Multimodal Data Mining Trends, Achievements, and Challenges: Systematic Literature Review

Abstract: This paper aims to analyze state-of-the-art in multimodal data mining research through a systematic literature review. It provides a documented answer on the research evolution of multimodal ...
IEEE

MomicPred: A Cell Cycle Prediction Framework Based on Dual-Branch Multi-Modal Feature Fusion for Single-Cell Multi-Omics Data

Abstract: The cell cycle plays a pivotal role in regulating cell fate and stem cell differentiation. As a rate-limiting step in differentiation, its precise regulation is essential for maintaining ...
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) ...