Results 61 to 70 of about 124,081 (292)

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Multilingual Constituency Parsing with Self-Attention and Pre-Training [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2018
We show that constituency parsing benefits from unsupervised pre-training across a variety of languages and a range of pre-training conditions. We first compare the benefits of no pre-training, fastText, ELMo, and BERT for English and find that BERT ...
Nikita Kitaev, Steven Cao, D. Klein
semanticscholar   +1 more source

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

Personalized Kirigami Strain Sensors for in vivo Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Rapid prototyping of strain sensors is demonstrated using a laser cutter that both converts carbon‐based material to strain responsible graphene and generates cuts in a kirigami‐style pattern that allows enhanced substrate flexibility. This method is used to generate wearable sensors for monitoring heart rate, limb/finger motion, and abdominal ...
Siheng Sean You   +7 more
wiley   +1 more source

Universal Semantic Parsing [PDF]

open access: yesProceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Universal Dependencies (UD) offer a uniform cross-lingual syntactic representation, with the aim of advancing multilingual applications. Recent work shows that semantic parsing can be accomplished by transforming syntactic dependencies to logical forms. However, this work is limited to English, and cannot process dependency graphs, which allow handling
Reddy, Siva   +4 more
openaire   +4 more sources

BiT‐HyMLPKANClassifier: A Hybrid Deep Learning Framework for Human Peripheral Blood Cell Classification Using Big Transfer Models and Kolmogorov–Arnold Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley   +1 more source

Frame-Semantic Parsing [PDF]

open access: yesComputational Linguistics, 2014
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures.
Das, Dipanjan   +4 more
openaire   +5 more sources

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon   +20 more
wiley   +1 more source

Depression Symptom Trajectories in Mothers With the FMR1 Premutation Vary by CGG Repeat Length: A Longitudinal Study of 73 Women Spanning 20–75 Years of Age

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT Women with the FMR1 premutation (FXpm) are at heightened genetic vulnerability for depression, with risk compounded by the stressors of parenting a disabled child. Although risk factors persist as FXpm women age, depression in FXpm mothers during midlife and old age is poorly characterized. This study used an accelerated longitudinal design to
Jessica Klusek   +8 more
wiley   +1 more source

catalogoUCsBR: A new R package and application for creating comprehensive plant species lists for Brazilian Protected Areas

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise The increased online publication of data associated with Brazilian botanical collections and biodiversity information systems has significantly improved access to information on plant species occurring in Brazil. However, information about Brazilian flora within Protected Areas is fragmented.
Thuane Bochorny   +2 more
wiley   +1 more source

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