Results 241 to 250 of about 3,265,453 (375)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Resting-State Electroencephalogram and Speech Perception in Young Children with Developmental Language Disorder. [PDF]

Brain Sci
Campos A, Loyola-Navarro R, González C, Iverson P.   +3 more
europepmc   +1 more source

Cues in the perception of infinitely clipped speech [PDF]

, 1985
Daniel Kahn
openalex   +1 more source

Sensorimotor influences on speech perception in infancy

Proceedings of the National Academy of Sciences of the United States of America, 2015
Alison G. Bruderer, D. K. Danielson, Padmapriya Kandhadai, J. Werker, Patricia K. Kuhl   +4 more
semanticscholar   +1 more source

Advances in Organic In‐Sensor Neuromorphic Computing: from Material Mechanisms to Applications

Advanced Intelligent Discovery, EarlyView.
This review discusses organic in‐sensor neuromorphic computing for wearable and bioelectronic systems, with a focus on memory‐based and OECT‐based synaptic devices. It highlights key design principles, recent advances, and existing challenges. By integrating sensing and processing within organic materials, the approach enables real‐time, low‐power, and
Dong Hyun Lee, Woojo Kim, Eun Kwang Lee, Hocheon Yoo   +3 more
wiley   +1 more source

Executive Function Associations With Audibility-Adjusted Speech Perception in Noise. [PDF]

J Speech Lang Hear Res
Eckert MA, Matthews LJ, Vaden KI, Dubno JR.   +3 more
europepmc   +1 more source

A theory toward discontinuous perception of speech [PDF]

, 1985
Kazunari Koike
openalex   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Linguistic diversity shapes flexible speech perception in school age children. [PDF]

Sci Rep
Kutlu E, Baxelbaum K, Sorensen E, Oleson J, McMurray B.   +4 more
europepmc   +1 more source

The influence of vocal frequency and intensity on the perception of speech rate: Natural speech samples as stimuli [PDF]

, 1982
Ronald N. Bond, Stanley Feldstein, Elizabeth Brady, Sallie Simpson   +3 more
openalex   +1 more source