Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
Contributions of the left and right hemisphere in language: investigating the effects of unilateral brain damage (stroke) on metaphor processing [PDF]
It is widely accepted that the left hemisphere of the brain is specialised and dominant for language comprehension and production and that those with left hemisphere damage often display profound language disruption (Geschwind, 1965).
Wild, Celia
core
Linear Progressive Coding for Semantic Communication using Deep Neural Networks
We propose a general method for semantic representation of images and other data using progressive coding. Semantic coding allows for specific pieces of information to be selectively encoded into a set of measurements that can be highly compressed ...
Xu, Weiyu, Mudumbai, Raghu, Riherd, Eva
core
Rethinking Modern Communication from Semantic Coding to Semantic Communication
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message. This article rethinks these two major features and introduces the concept and advantage of semantics that characterizes a new ...
Chen, Xianfu; id_orcid +7 more
core +1 more source
Semantic-Preserving Image Coding based on Conditional Diffusion Models [PDF]
Semantic communication, rather than on a bit-by-bit recovery of the transmitted messages, focuses on the meaning and the goal of the communication itself.
Pezone, Francesco +3 more
core +2 more sources
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Importance-Aware Resource Allocations for MIMO Semantic Communication
This study proposes a separate source-channel coding (SSCC) framework to address semantic communication challenges in MIMO systems, overcoming the limitations of joint source-channel coding (JSCC) in channel adaptation and model reusability.
Yue Cao +3 more
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Survey on video image reconstruction method based on generative model
Traditional video compression technology based on pixel correlation has limited performance improvement space, semantic compression has become the new direction of video compression coding, and video image reconstruction is the key link of semantic ...
Yanwen WANG +6 more
doaj +2 more sources
Large-Language-Model-Enabled Text Semantic Communication Systems
Large language models (LLMs) have recently demonstrated state-of-the-art performance in various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with the core ...
Zhenyi Wang +6 more
doaj +1 more source

