Results 41 to 50 of about 3,454 (261)

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Evaluative Language in Lithuanian Students’ English Writing. A Study of ‘Important’ and ‘Interesting’

Respectus Philologicus, 2016
Critical thinking, as one of the competences to be developed at universities, requires the ability to evaluate. Though different parts of speech can fall under the category of evaluative language, adjectives are among the most frequently used means to ...
Lina Bikelienė
doaj   +1 more source

VALICO-UD: Treebanking an Italian Learner Corpus in Universal Dependencies

IJCoL, 2022
This article describes an ongoing project for the development of a novel Italian treebank in Universal Dependencies format: VALICO-UD. It consists of texts written by Italian L2 learners of different mother tongues (German, French, Spanish and English ...
Elisa Di Nuovo, Manuela Sanguinetti, Alessandro Mazzei, Elisa Corino, Cristina Bosco   +4 more
doaj   +1 more source

Culinary Chemistry as a Platform for Interfacial Materials Design

Advanced Materials Interfaces, EarlyView.
Culinary processes control interfaces through heating, shear, gelation, and molecular transport. This Review connects selected gastronomic examples with food‐derived nanomaterials, plasmonic sensing, anthocyanin photovoltaics, and intelligent packaging. Original agar‐based plasmonic films illustrate the proposed translation.
Josep Moreno, I. Brian Becerril‐Castro, Irene Calderon‐Gonzalez, Jaslyn Ru Ting Chen, Zhiming Wang, Alexander O. Govorov, José Manuel Romo‐Herrera, Neus Feliu, Wolfgang J. Parak, Miguel A. Correa‐Duarte, In Yee Phang, Xing Yi Ling, Ramón A. Alvarez‐Puebla   +12 more
wiley   +1 more source

Asset-Oriented Approaches to Learner Corpus Data

L2 Journal
In this article, we discuss how learner corpus data can be used to promote asset-oriented approaches to language learning. We discuss how four tenets of asset-oriented approaches—challenges to the native speaker norm, accessibility/authenticity, advocacy,
Shelley Staples, Asya Gorlova, Bruna Sommer-Farias, Valentina Vinokurova, Mariana Centanin-Bertho, Aleksey Novikov   +5 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

The development of cohesion in a learner corpus

Studies in Second Language Learning and Teaching, 2013
This study examines the use of cohesive devices (pragmatic markers and conjunctions) in a 24,000-word corpus of transcribed oral data from 47 learners and native speakers of English. Both of these cohesive devices increase with proficiency level, but not
Colleen A. Neary-Sundquist
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

A Trilingual Learner Corpus illustrating European Reference Levels

RiCognizioni, 2014
Since its publication in 2001, the Common European Framework of Reference for Languages (CEFR) has gained a leading role as an instrument of reference for language teaching and certification and for the development of curricula.
Andrea Abel
doaj   +1 more source