Results 61 to 70 of about 516,542 (265)

The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time

Communications Earth & Environment
Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-
Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang   +16 more
doaj   +1 more source

Artificial Intelligence: Foundational Technologies of Artificial Intelligence

Ubiquity
More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy ...
Jeffrey Johnson 0001, Peter J. Denning, Andrew M. Odlyzko, Martin Walker, Kemal A. Delic, Philip Yaffe, Phil D. Picton   +6 more
openaire   +1 more source

Artificial Intelligence in Medicine

Bangladesh Journal of Medicine, 2023
Abstract not available Bangladesh J Medicine 2023; 34(2): 69 ...
openaire   +3 more sources

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data

Nature Communications
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang   +7 more
doaj   +1 more source

Computational linguistics in psychology: a key to understanding language and human behavior

Язык и текст
The relevance is determined by the exponential growth of textual data in the digital environment, requiring automated analysis methods to reveal hidden patterns.
K.S. Ivashko, S.A. Izosimova, V.N. Piguz, K.V. Kovaleva   +3 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source

Community evolution prediction based on feature change patterns in social networks

Scientific Reports
Predicting community evolution in dynamic social networks is crucial for relevant authorities to understand trends and implement safety measures in advance.
Jingyi Ding, Guojing Sun, Tiwen Wang, Licheng Jiao, Junzhao Du, Jianshe Wu, Hongfei Wang, Ruohui Cheng   +7 more
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Hybrid Approach Combining CLIP and Diffusion Models with Low-Rank Adaptation for Domain-Specific Image Generation [PDF]

Journal of Computing and Communication
Text-to-image generation has emerged as a transformative technology in artificial intelligence, enabling the creation of visually coherent and contextually relevant images from textual descriptions.
Wafaa Mohamed, Mirna Nashaat, Nawal Abdelwahed, Waleed Shaban, Mostafa Gamal, Sara Sweidan   +5 more
doaj   +1 more source