Adversarial Training

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

The Essential Role of Large and Multimodal Models in AI Development

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The Essential Role of Large and Multimodal Models in AI Development

Introduction The artificial intelligence industry is like a giant ship sailing through the waves, heading towards a new blue ocean of the intelligent era at an unprecedented speed. Its development trends and prospects are vibrant and hopeful, not only triggering revolutionary changes in the technology sector but also deeply penetrating various industries, empowering industrial upgrades … Read more

Ethics And Governance Of Artificial Intelligence In Health

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Ethics And Governance Of Artificial Intelligence In Health

Editor’s Note With the rapid development of artificial intelligence technology, the health sector is continuously trying to improve the quality of medical care and enhance work efficiency by introducing AI. Due to the capability of large model technology to process large-scale data and perform complex tasks, it significantly enhances the generalization, versatility, and practicality of … Read more

Multimodal Cognitive Computing: Theoretical Insights and Future Directions

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Multimodal Cognitive Computing: Theoretical Insights and Future Directions

In daily life, humans utilize various senses such as vision and hearing to understand the surrounding environment. By integrating multiple perceptual modalities, a holistic understanding of events is formed. To enable machines to better mimic human cognitive abilities, multimodal cognitive computing simulates human “synaesthesia”, exploring efficient perception and comprehensive understanding methods for multimodal inputs such … Read more

Deep Learning Advancements in Multimodal AI Models

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Deep Learning Advancements in Multimodal AI Models

It has been a whole year since the emergence of ChatGPT, GPT-4, and other innovations that sparked a new wave of transformation in artificial intelligence. During this year, numerous companies both domestically and internationally have entered the “arena” of large models, accelerating the iteration and leap of large model technologies. The unprecedented capability of large … Read more

Multimodal Biomedical AI in the Era of Large Models

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Multimodal Biomedical AI in the Era of Large Models

Most applications of artificial intelligence in medicine utilize a single data modality to address tasks within a narrow scope, such as computed tomography (CT) scans or retinal photographs. However, clinicians integrate multi-source, multimodal data for diagnosis, prognosis assessment, and treatment planning. In this review, the authors explore the applications of multimodal datasets in healthcare, the … Read more

Multimodal Visual Structure Learning

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Multimodal Visual Structure Learning

Author / Li Xi 0 Introduction This article organizes previous research on multimodal visual structure learning from a new perspective, focusing on the characteristics and applications of spherical panoramic images. Spherical images are mostly related to fisheye or 360° panoramic views, containing a wealth of structural knowledge, primarily aimed at applications such as autonomous driving, … Read more

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

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How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

Multimodal AI Models Aid Clinical Decision-Making in Medicine

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Multimodal AI Models Aid Clinical Decision-Making in Medicine

On August 26, 2024, Professor Shen Lin’s team from Peking University Cancer Hospital and Professor Dong Bin’s team from Peking University published a groundbreaking research article titled “Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data” in the journal Signal Transduction and Targeted Therapy (Impact Factor: 40.8). This study … Read more

Research Progress on Multimodal Large Language Models

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Research Progress on Multimodal Large Language Models

About 3800 words, recommended reading time is 7 minutes. This article provides a comprehensive overview of MM-LLMs. 1. Introduction Multimodal large language models (MM-LLMs) have made significant progress over the past year by optimizing modality alignment and human intent alignment, enhancing existing unimodal foundational models (LLMs) to support various MM tasks. This article provides a … Read more