Results 41 to 50 of about 58,503 (202)

6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning With Foundation Models in AI-Native 6G Networks

open access: yesIEEE Open Journal of the Communications Society
Emerging sixth-generation (6G) networks are increasingly envisioned as AI-native, intent-driven systems in which foundation models act as high-level reasoning and coordination layers above standardized network functions.
Mohamed Amine Ferrag   +2 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Enhanced Semantic Communications and VVC-Based Hybrid Video Coding System

open access: yesIEEE Access
Video, the dominant media format on the Internet, is pushing conventional video coding techniques to their limits with a wide range of bandwidth-intensive and delay-sensitive applications.
Prabhath Samarathunga   +6 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

open access: yesAdvanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua   +6 more
wiley   +1 more source

A GenAI-Driven Framework for Context-Aware Semantic Communication in Digital Twin Networks

open access: yesIEEE Open Journal of the Communications Society
Semantic communication (SemCom) is expected to play a key role in 6G and digital twin network (DTN) environments, where reliability depends on preserving meaning and user intent rather than reconstructing bit sequences. This paper presents a GenAI-driven,
Peng Luo   +7 more
doaj   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

open access: yesAdvanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen   +6 more
wiley   +1 more source

State-Optimization-Based Semantic SCMA Broadcast With Deep Reinforcement Learning in UAV-Assisted IoV Networks

open access: yesIEEE Access
This paper proposes a semantic Sparse Code Multiple Access (SCMA) broadcast framework for Uncrewed Aerial Vehicle (UAV)-assisted Internet of Vehicles (IoV) networks, integrating structural state optimization with Lyapunov-guided Deep Reinforcement ...
Nguyen Huu Trung   +3 more
doaj   +1 more source

From Label‐Free Multiphoton Imaging to Pathological Reports: A Vision‐Language Breast Cancer Margin Pathological Diagnosis System

open access: yesAdvanced Science, EarlyView.
MarginPath is a novel vision‐language system that automates breast cancer margin assessment using a single label‐free multiphoton microscopy image. By integrating tumor‐associated collagen signatures with virtual H&E imaging, it generates accurate margin heatmaps and comprehensive diagnostic reports.
Shu Wang   +15 more
wiley   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

open access: yesAdvanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li   +9 more
wiley   +1 more source

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