Results 51 to 60 of about 354,219 (289)
Culturally Specific Messaging and the Explanation of Contact in Impacted Bilinguals
Languages, 2023 A sketch is offered of a framework that would abandon the familiar notion of a language and the accompanying question of whether it has changed under contact.
Ricardo Otheguy
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A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
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Advanced Functional Materials, EarlyView.This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen +13 more
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Vestnik za Tuje Jezike, 2013 The paper aims, first, to offer a brief sketch of the history of the national foreign- language competition in Slovenia, and, second, to describe the structure of the competition in Italian as a foreign and second language.
Darja Mertelj, Daša Stanič
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Generative Grammar: A Meaning First Approach
Frontiers in Psychology, 2020 The theory of language must predict the possible thought—signal (or meaning—sound or sign) pairings of a language. We argue for a Meaning First architecture of language where a thought structure is generated first.
Uli Sauerland +2 more
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Hierarchical Schema Representation for Text-to-SQL Parsing With Decomposing Decoding
IEEE Access, 2019 Most of existing studies on parsing natural language (NL) for constructing structured query language (SQL) do not consider the complex structure of database schema and the gap between NL and SQL query.
Meina Song, Zecheng Zhan, Haihong E.
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<h2><a href="https://github.com/engisalor/sketch-grammar-explorer/compare/v0.7.2...v0.7.3">0.7.3</a> (2024-02-08)</h2> <h3>Bug Fixes</h3> <ul> <li>add util functions (<a href="https://github.com ...
Isaacs, Loryn
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The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
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