Clipto.AI Announces New Funding to Accelerate On‑Device AI Innovation

Palo Alto, California - Clipto.AI, a global AI company building the next-generation On-Device Multimodal Content OS, ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
GitHub

MuMo: Multimodal Molecular Representation Learning via Structural Fusion and Progressive Injection

1 Department of Computer Science, Western University, London, ON, Canada 2 Department of Biochemistry, Western University, London, ON, Canada This repository contains the code, datasets, and trained ...

Best AI Chat Apps for 2026: We Tested and Ranked the Best Free and Paid Apps

Looking for the best AI chat app? I have culminated a list of the best AI tools, that I have tested and ranked in this read.
IEEE

Multitree Genetic Programming for Multimodal Learning in Multimodal Medical Image Classification

Abstract: As medical images from multiple modalities provide complementary diagnostic information, multimodal medical image classification (MMIC) leverages their integration to enhance disease ...
IEEE

Application of a Multimodal Deep Learning Model Based on Recursive Fusion Feature Map With Transformer–TCN for Complex Fault Diagnosis of Flying Wing UAV Actuators

Abstract: This present article proposes a multimodal deep learning model based on recursive feature fusion map (RFFM) and Transformer-temporal convolutional network (TCN), to solve the problem of ...
Frontiers

Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...