Results 81 to 90 of about 8,791,803 (307)
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
The Interaction of Syntax and Semantics in Countability and Number Marking
Countability and number marking are basically specified by morpho-syntactic structures. However, they are closely related with the denotations of noun phrases. Hence, it needs to be scrutinized (i) whether syntax and semantics are interrelated to mark the relevant information, and (ii) in what way they are.
openaire +2 more sources
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
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
Declarative memory is a long-term store for facts, concepts and words. Procedural memory subserves the learning and control of sensorimotor and cognitive skills, including the mental grammar. In this study, we report a single-case study of a mild aphasic patient who showed procedural deficits in the presence of preserved declarative memory abilities ...
Joël, Macoir +4 more
openaire +4 more sources
How does mass–count syntax affect word meaning? Many theorists haveproposed that count nouns denote individuals, whereas mass nouns do not(Bloom, 1999; Gordon, 1985; Link, 1983), a proposal that is supported byprototypical examples of each (table, water).
UCSD Language and Development Lab +2 more
openaire +3 more sources
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source
The syntax of number marking: the view from bare nouns in Wolof
Several languages allow for their nominals to occur without any functional morphology; they are dubbed ‘bare nominals’. BNs are often number-neutral, i.e.,there is no commitment to a singular or plural interpretation. In Wolof, however, BNs are singular when unmodified.
openaire +2 more sources
In PWS‐ASPCs, FOSL1 drives the expression of SPSB1. SPSB1, as part of the ESC complex, further binds to HDAC1 and promotes K29‐linked and K48‐linked polyubiquitination of HDAC1. These modifications facilitate the degradation of HDAC1 through the ALP and UPS pathways, respectively.
Hongrui Chen +5 more
wiley +1 more source
Distance in space syntax [PDF]
We explore ways of introducing Euclidean distances associated with street systemsrepresented by axial lines into the two connectivity graphs based on points (or streetjunctions), and on lines (or streets), the so-called dual and primal representations ...
Batty, M
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