Results 51 to 60 of about 3,171,013 (290)
Manufacture of syntactic foams using starch as binder: post-mold processing [PDF]
Syntactic foam manufacturing method, ‘post-mold processing,’ based on the buoyancy of hollow microspheres was studied for potential building material applications.
Islam, Md Mainul, Kim, Ho Sung
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
Decrease in early right alpha band phase synchronization and late gamma band oscillations in processing syntax in music [PDF]
The present study investigated the neural correlates associated with the processing of music-syntactical irregularities as compared with regular syntactic structures in music.
Bhattacharya, J. +5 more
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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 +4 more
wiley +1 more source
Syntactic complexity and elaborative processing [PDF]
Memory for sentences as a function of the syntactic complexity of the sentences was examined. Sentence complexity was varied through a manipulation that involved presenting sentences in either self-embedded forms or more standard forms. Subjects performed an incidental semantic orienting task on a set of sentences varying in complexity and were ...
openaire +2 more sources
LLM‐Integrated Human–Robot Interaction System for Microrobots
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
wiley +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Grammatical encoding in bilingual language production: A focus on code switching
I report three experiments that examined whether words from one language of bilinguals can use the syntactic features form the other language and how such syntactic co-activation might influence syntactic processing.
MEHDI ePURMOHAMMAD
doaj +1 more source
qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang +3 more
wiley +1 more source
Resolving anaphoric references on deficient syntactic descriptions [PDF]
Syntactic coindexing restrictions are by now known to be of central importance to practical anaphor resolution approaches. Since, in particular due to structural ambiguity, the assumption of the availability of a unique syntactic reading proves to be ...
Stuckardt, Roland
core

