Results 51 to 60 of about 191,564 (306)
Advanced Intelligent Discovery, EarlyView.Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
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Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
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npj Science of LearningAgeing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution.
Vanessa Frei, Nathalie Giroud
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Employing computational linguistics in the makers and development of digital atlases
قضايا لغوية, 2022 This study aims to introduce computational linguistics, and to show its important role in the manufacture and development of digital atlases, as computational linguistics is one of the most important branches of applied linguistics that is based in its ...
Abdelbasset Abdelssamed BENSEDDIK +1 more
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Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced 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
Scientific ReportsThe multivariate temporal response function (mTRF) is an effective tool for investigating the neural encoding of acoustic and complex linguistic features in natural continuous speech.
Elena Bolt, Nathalie Giroud
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Computational coverage of type logical grammar: The Montague test [PDF]
, 2016 It is nearly half a century since Montague made his contributions to the field of logical semantics. In this time, computational linguistics has taken an almost entirely statistical turn and mainstream linguistics has adopted an almost entirely non ...
Morrill, Glyn +1 more
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Generating Politically-Relevant Event Data
, 2016 Automatically generated political event data is an important part of the social science data ecosystem. The approaches for generating this data, though, have remained largely the same for two decades.
Beieler, John
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Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
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Computational linguistics : a brief introduction [PDF]
, 1994 Computationai Linguistics is an interdisciplinary field of study that encornpasses knowledge rnainly from three areas: Linguistics, Computer Science and Logic.
Espunya i Prat, Anna
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