Results 31 to 40 of about 456 (226)
Learning novel words for motion by speakers of structurally different languages
Speakers of different languages follow a three-way split in how they express motion events in speech—with a greater emphasis on manner in satellite-framed languages (English), path in verb-framed languages (Turkish), and comparable expression of manner ...
Irmak Su Tütüncü +4 more
doaj +1 more source
Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou +6 more
wiley +1 more source
A Comparative Study of Source-Goal Asymmetry in Motion Events in Persian, German, and Polish [PDF]
As mentioned in previous studies, in most languages of the world, the Source-Goal asymmetry can be observed at different linguistic levels, such as morphosyntactic, syntactic, and lexical.
Ali Jamali, Fatemeh Bashiri
doaj +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
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Motion events occur frequently in everyday life as people and objects constantly change their relative location to one another. Although children's descriptions of motion events resemble those of adults in their own language group from very early on ...
Oosthuizen, Helena +2 more
doaj +1 more source
What Time Does in Language: a Cross-Linguistic Cognitive Study of Source Related Variation in Verbal Time Metaphors in American English, Finnish and Hungarian. Such a universal yet abstract concept as time shows variation in metaphorical language.
Zsuzsa MÁTHÉ
doaj +1 more source

