How 2025 Recalibrated AI Models Race

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
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) ...
EurekAlert!

Stretchable multimodal sensor arrays for hardness perception in bionic skin

The development of bioinspired electronic skin plays a pivotal role in enhancing robotic environmental perception and ...
San Mateo Daily Journal

Trump Media to merge with nuclear fusion company that wants to power AI

Trump Media & Technology will merge with a fusion power company in an all-stock deal that the companies say is valued at more than $6 billion. Trump Media CEO Devin ...

Future Forward Labs Appoints Dr. Delia DeBuc as Applied Science Mentor to Advance Applied Physics and Biomedical Innovation

Future Forward Labs today announced the appointment of Dr. Delia DeBuc as STEM Mentor -- Applied Physics and Biomedical Science. Dr. DeBuc brings more than 20 years of multidisciplinary research, ...
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 ...
Morningstar

IBM Fusion Delivers Pioneering Implementation of NVIDIA AI Data Platform for Agentic AI

ARMONK, N.Y., Nov. 4, 2025 /PRNewswire/ -- IBM (NYSE: IBM) today announced that IBM Fusion has delivered one of the industry's first implementations of the NVIDIA AI Data Platform reference design, ...
Frontiers

Meta analysis of the diagnostic efficacy of transformer-based multimodal fusion deep learning models in early Alzheimer’s disease

Department of Neurology, Xianyang Hospital of Yan’an University, Xianyang, China Introduction: This study aims to systematically evaluate the diagnostic efficacy of Transformer-based multimodal fusion ...
IEEE

Multimodal Data Fusion Classification via Adaptive Frequency Domain Sparse Enhancement

Abstract: Achieving efficient fusion of multimodal remote sensing (RS) data from spaceborne platforms for improved land cover classification performance remains a major challenge in remote sensing ...
Frontiers

Multimodal integration strategies for clinical application in oncology

In clinical practice, a variety of techniques are employed to generate diverse data types for each cancer patient. These data types, spanning clinical, genomics, imaging, and other modalities, exhibit ...