Application Of Multimodal Artificial Intelligence In Nursing Education

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Education and Teaching Application Of Multimodal Artificial Intelligence In Nursing Education Peng Wenli, Cheng Xinhua, Zhang Xian (Chongqing University of Humanities, Science and Technology, School of Nursing) Abstract: With the continuous advancement of technology and the rapid development of artificial intelligence, the application of multimodal artificial intelligence in nursing education has become a trend. The … Read more

Overview of Multimodal Learning and Latest Directions

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This article summarizes the main content from the TPAMI review literature, and the author adds the latest papers and analyses related to this field. Paper: Multimodal Machine Learning: A Survey and Taxonomy Humans interact with the world through various sensory organs, such as eyes, ears, and touch. Multimodal Machine Learning (MML) studies machine learning problems … Read more

2022 Latest Review: Detailed Explanation of Multi-Modal Fusion Perception Algorithms in Autonomous Driving

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2022 Latest Review: Detailed Explanation of Multi-Modal Fusion Perception Algorithms in Autonomous Driving

About 4300 words, recommended reading time 5 minutes. This article classifies the field into two major categories and four subcategories based on the fusion stage, and also analyzes the existing problems in the current field, providing references for future research directions. 1 Introduction Multi-modal sensor fusion means complementary, stable, and safe information, and has long … Read more

Research Progress on Multimodal Named Entity Recognition Methods

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Research Progress on Multimodal Named Entity Recognition Methods

Research Progress on Multimodal Named Entity Recognition Methods Wang Hairong1,2, Xu Xi1, Wang Tong1, Jing Boxiang1 1. School of Computer Science and Engineering, Northern Minzu University; 2. Key Laboratory of Intelligent Processing of Image and Graphics, Northern Minzu University Click “Read the Original” at the end of the article to view the literature! Table of … Read more

The First Global Review of Embodied Intelligence in the Era of Multimodal Large Models

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The First Global Review of Embodied Intelligence in the Era of Multimodal Large Models

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering audiences including NLP master’s and PhD students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for … Read more

Application of Preoperative Multimodal Imaging Fusion Technology in Complex Skull Base Tumor Surgery

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Application of Preoperative Multimodal Imaging Fusion Technology in Complex Skull Base Tumor Surgery

DOI: 10.1097/SCS.0000000000010073 Abstract Objective: To summarize the application experience of multimodal imaging fusion technology in complex skull base tumor surgery. Methods: A retrospective analysis of clinical data from 7 patients with complex skull base tumors who underwent preoperative multimodal imaging fusion in the Department of Neurosurgery at Zhuhai People’s Hospital from October 2019 to January … Read more

Chen Li: The Significance of Multimodal Discourse in English Courses

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Chen Li: The Significance of Multimodal Discourse in English Courses

1 What Is Multimodal Discourse 1.1 What is discourse? Discourse is an important means for humans to convey information, and it is a linguistic unit with communicative significance or contextual semantics. 1.2 The forms of discourse can be monomodal or multimodal. Here, mode refers to the pattern or method of information transmission in discourse. 1.3 … Read more

Multimodal Monitoring: A New Tool for Neurocritical Care in Comatose Patients

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Multimodal Monitoring: A New Tool for Neurocritical Care in Comatose Patients

Xiaolei Zhang, Chenghuan Hu, Translated by Shuangping Zhao, Proofread Abstract: Neurocritical patients are at risk of secondary brain injury, which is caused by inflammation, ischemia, and edema resulting from primary injuries. Recognizing clinical deterioration due to secondary injury in comatose patients is often challenging. Multimodal monitoring (MMM) includes various tools to monitor brain metabolism, perfusion, … Read more

First Mamba+Transformer Multimodal Large Model

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First Mamba+Transformer Multimodal Large Model

Source: Algorithm Advancement This article is approximately 4100 words and is recommended to be read in 8 minutes. LongLLaVA performs excellently in long-context multimodal understanding. The authors of this article come from The Chinese University of Hong Kong, Shenzhen, and the Shenzhen Big Data Research Institute. The first authors are PhD student Wang Xidong and … Read more

Multimodal Perception Data and One-Stop Algorithm Training for AI Empowerment in Jiangsu Courts

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Multimodal Perception Data and One-Stop Algorithm Training for AI Empowerment in Jiangsu Courts

Smart Introduction In recent years, Jiangsu courts have deeply implemented Xi Jinping’s thoughts on the rule of law and his important ideas on building a strong networked nation, closely focusing on the work theme of “justice and efficiency.” They have actively explored the deep integration of artificial intelligence and judicial applications, relying on multimodal perception … Read more