Results 131 to 140 of about 209,949 (335)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction

open access: yesAdvanced Intelligent Systems, EarlyView.
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo   +3 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

open access: yesAdvanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet   +9 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

Predictable sequential structure augments auditory sensitivity at threshold

open access: yesiScience
Summary: Human hearing is highly sensitive and allows us to detect acoustic events at low levels. However, sensitivity is not only a function of the integrity of cochlear transduction mechanisms but is also constrained by central processes such as ...
Nadège Marin   +7 more
doaj   +1 more source

Association between Anemia and Auditory Threshold Shifts in the US Population: National Health and Nutrition Examination Survey. [PDF]

open access: yesInt J Environ Res Public Health, 2020
Shih JH   +7 more
europepmc   +1 more source

Genotypes and Phenotypes of Patients With TSPEAR‐Related Disorder: Evidence of a Predominant Dental Phenotype

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT TSPEAR (chr. 21q22.3) encodes a protein involved in tooth development and is predominantly expressed in the enamel knot. Biallelic loss of function variants in TSPEAR cause ectodermal dysplasia, tooth agenesis and sensorineural hearing loss. However, the role of TSPEAR in auditory processes is unclear.
Debora Vergani   +17 more
wiley   +1 more source

Neurodevelopmental and Psychiatric Studies in Children and Adolescents With Neurofibromatosis Type I: A Comprehensive Scoping Review

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT A comprehensive synthesis of the broad range of neurodevelopmental and psychiatric manifestations in NF1 is needed to identify knowledge gaps and future directions for NF1 research. In the following scoping review, we identify and summarize the scope of research that examines neurodevelopmental and psychiatric manifestations, both as ...
Meera Chopra   +5 more
wiley   +1 more source

Investigating computational models of perceptual attack time [PDF]

open access: yes, 2006
The perceptual attack time (PAT) is the compensation for differing attack components of sounds, in the case of seeking a perceptually isochronous presentation of sounds. It has applications in scheduling and is related to, but not necessarily the same as,
Collins, Nick
core   +2 more sources

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