Results 131 to 140 of about 3,424,284 (379)

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis [PDF]

arXiv, 2013
Semantic measures are widely used today to estimate the strength of the semantic relationship between elements of various types: units of language (e.g., words, sentences, documents), concepts or even instances semantically characterized (e.g., diseases, genes, geographical locations).
arxiv  

Geometry‐Guided Transformer for Monocular 3D Object Detection

Advanced Intelligent Systems, EarlyView.
This work proposes a geometry‐guided transformer‐based framework for monocular 3D object detection. By incorporating spatial features and geometry guidance through the advanced transformer structure, the method addresses the limitations of existing methods and improves detection accuracy and convergence speed, achieving SOTA detection performance with ...
Man Zhang, Yongqiang Zhang, Jinwei Sun, Kai‐Leung Yung, Lidong Yang   +4 more
wiley   +1 more source

Determining Semantic Textual Similarity using Natural Deduction Proofs

, 2017
Determining semantic textual similarity is a core research subject in natural language processing. Since vector-based models for sentence representation often use shallow information, capturing accurate semantics is difficult.
Bekki, Daisuke, Martinez-Gomez, Pascual, Mineshima, Koji, Yanaka, Hitomi   +3 more
core   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Semantic Is Enough: Only Semantic Information For NeRF Reconstruction [PDF]

Recent research that combines implicit 3D representation with semantic information, like Semantic-NeRF, has proven that NeRF model could perform excellently in rendering 3D structures with semantic labels. This research aims to extend the Semantic Neural Radiance Fields (Semantic-NeRF) model by focusing solely on semantic output and removing the RGB ...
arxiv   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

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

American 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, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong, Melissa A. Haendel, Tzung‐Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni‐Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J. Guillen Sacoto, Yousif J. Shwetar, Vincent D. Ustach, Rebekah L. Waikel, William Woof   +20 more
wiley   +1 more source

The state-of-the-art in web-scale semantic information processing for cloud computing [PDF]

arXiv, 2013
Based on integrated infrastructure of resource sharing and computing in distributed environment, cloud computing involves the provision of dynamically scalable and provides virtualized resources as services over the Internet. These applications also bring a large scale heterogeneous and distributed information which pose a great challenge in terms of ...
arxiv  

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service

Annals of Neurology, EarlyView.
Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley   +1 more source