Results 81 to 90 of about 10,242,979 (306)
Artificial intelligence in teaching and learning
, 2023 The recent release of ChatGPT, a flexible and accessible form of artificial intelligence, raises a multitude of questions for those of us interested in interactive learning environments.
Rospigliosi, A.
core +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Review on artificial intelligence chip technology system
Dianxin kexue, 2019 Artificial intelligence technology is the new focus of current countries.The development of artificial intelligence technology has put forward new requirements for computing chips.Deep learning algorithms require the training of massive data,while ...
Yuxia SHI
doaj +2 more sources
Journal of Robotics, 2021 This study presents the construction of a Vietnamese voice recognition module and inverse kinematics control of a redundant manipulator by using artificial intelligence algorithms.
Mai Ngoc Anh, Duong Xuan Bien
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Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
An overview of artificial intelligence assisted channel estimation
Dianxin kexue, 2020 As the mainstream of the sixth generation mobile communication development,intelligent communication assisted by artificial intelligence technology is vigorously developing,and has initially demonstrated its advantages over traditional communication ...
Kun LI, Jing ZHANG, Xiao LI, Shi JIN
doaj +2 more sources
Deep learning enabled inverse design in nanophotonics
Nanophotonics, 2020 Deep learning has become the dominant approach in artificial intelligence to solve complex data-driven problems. Originally applied almost exclusively in computer-science areas such as image analysis and nature language processing, deep learning has ...
So Sunae +4 more
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A Comprehensive Study on Deep Learning in Artificial Intelligence and Chatbots
, 2023 A Comprehensive Study on Deep Learning in Artificial Intelligence and ...
Haseeb Latif
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Arthritis Care &Research, EarlyView.Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
Artificial Intelligence in Surgery: Neural Networks and Deep Learning
CoRR, 2020 Deep neural networks power most recent successes of artificial intelligence, spanning from self-driving cars to computer aided diagnosis in radiology and pathology. The high-stake data intensive process of surgery could highly benefit from such computational methods.
Deepak Alapatt +3 more
openaire +3 more sources