Results 51 to 60 of about 361,991 (264)
Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework
Speech recognition systems for irregularly-spelled languages like English normally require hand-written pronunciations. In this paper, we describe a system for automatically obtaining pronunciations of words for which pronunciations are not available ...
Khudanpur, Sanjeev +3 more
core +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
The paper illustrates the LIBMOVIT project - - Libraries on the Move: Scholars, Books, Ideas Traveling in Italy in the 18th Century - whose main research focus is the European Eighteenth century socio-cultural framework in which the library as an ...
Carlo Bianchini +2 more
doaj +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Anchoring symbols to sensorimotor control [PDF]
This paper investigates how robots may emerge a lexicon to communicate complex meanings about actions such as `I am going to the red target' using simple (one-word) utterances. The main issue of the paper concerns the way these complex meanings represent
Vogt, Paul
core +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Automatic Dream Sentiment Analysis [PDF]
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph +4 more
core
We have developed a smart hair‐repair ingredient based on β‐carboxylic acid amide that undergoes negative‐to‐positive charge conversion under mildly acidic conditions. The initial negative charge facilitates deep penetration into the hair fiber, while the subsequent positive charge enables re‐bonding with sulfonate groups in damaged hair keratin.
Sunyoung Kang +8 more
wiley +1 more source
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source

