IEEE

SegCR: A Multimodal and Multitask Complementary Fusion Network for Remote Sensing Semantic Segmentation and Cloud Removal

Abstract: The synthetic aperture radar (SAR) can provide complementary information to optical images due to its insensitivity to atmospheric conditions, making optical–SAR fusion semantic segmentation ...
Communications of the ACM

From Data to Meaning: Taking the Internet into the AI-Native Era

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

On the limits of large language models and the unattainability of AGI and ASI

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
Microwaves & RF

Testing Challenges in Non-Terrestrial Networks and Future Wireless Systems

Non-terrestrial networks, combined with early 6G research, demand test equipment capable of handling extreme parameters and ...
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 ...
IEEE

CLMFNet: Cross-Level Multimodal Fusion Network for RGB-T Semantic Segmentation of Distribution Network Lines

Abstract: Accurate semantic segmentation is crucial in distribution network line monitoring to ensure the system’s reliability and security. Due to the complexity of the environment and the diversity ...
Microsoft

Heterogeneous Graph Neural Network on Semantic Tree

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...
Microsoft

Semantic Telemetry

AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
Frontiers

Molecular transmission network characteristics and high-risk transmission analysis of newly reported HIV-1 subjects in Nantong, China

Introduction: Nantong is currently experiencing an HIV-1 epidemic. However, detailed information regarding the local transmission chains remains limited. This study aimed to combine genomic, ...
Frontiers

Lexical retrieval in fluent and nonfluent aphasia: a network analysis of verbal fluency data

1 Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, United States 2 Department of Communicative Disorders and Sciences, University at Buffalo, Buffalo, NY, ...