Results 61 to 70 of about 6,325,938 (294)

Research on Traditional Mongolian-Chinese Neural Machine Translation Based on Dependency Syntactic Information and Transformer Model

Applied Sciences, 2022
Neural machine translation (NMT) is a data-driven machine translation approach that has proven its superiority in large corpora, but it still has much room for improvement when the corpus resources are not abundant.
Ren Qing-dao-er-ji, Kun Cheng, Rui Pang
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

The reliability of acceptability judgments across languages

Glossa, 2018
The reliability of acceptability judgments made by individual linguists has often been called into question. Recent large-scale replication studies conducted in response to this criticism have shown that the majority of published English acceptability ...
Tal Linzen, Yohei Oseki
doaj   +2 more sources

Multimodal Mixed Reality for In‐Field Visualization of RGB‐Based Vegetation Indices

Advanced Intelligent Systems, EarlyView.
Evaluating crop physiological health in field environments remains constrained by offline data processing or static 2D displays, limiting real‐time spatial interpretation. This paper presents a novel mixed reality framework that calculates, normalizes, and visualizes 20 RGB‐based vegetation indices directly in agricultural fields using consumer‐grade ...
Caio Mucchiani, Konstantinos Karydis
wiley   +1 more source

Split intransitivity in Japanese is syntactic: Evidence for the Unaccusative Hypothesis from sentence acceptability and truth value judgment experiments

Glossa, 2017
Split intransitivity (SI) is the generalization that intransitive verbs form two subclasses: the subjects of some intransitives behave like direct objects of transitive verbs, whereas the subjects of other intransitives behave like transitive subjects ...
Shin Fukuda
doaj   +2 more sources

Artificial Intelligence for Benign Esophageal Stricture Dilation: An Evidence‐Transferability Framework and Safety‐First Roadmap

AI &Innovation, EarlyView.
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley   +1 more source

Design sensitivity and statistical power in acceptability judgment experiments

Glossa, 2017
Previous investigations into the validity of acceptability judgment data have focused almost exclusively on type I errors (or false positives) because of the consequences of such errors for syntactic theories (Sprouse & Almeida 2012; Sprouse et al ...
Diogo Almeida, Jon Sprouse
doaj   +2 more sources

Syntax of Dutch: Verbs and Verb Phrases. Volume 3 [PDF]

, 2016
The Syntax of Dutch aims at presenting a synthesis of the currently available syntactic knowledge of Dutch. It is primarily concerned with language description and not with linguistic theory, and provides support to all researchers interested in matters ...
Corver, Norbert, Broekhuis, Hans
core   +1 more source