ICMLC 2026 will be held in Nanjing, China on February 06-09, 2026. The ICMLC 2026 organizing committees invite you to submit the papers to special session. Each special session will be arranged for around 2 hours on Feb. 07 or 08's afternoon. Now the information on special session as following:

Topic: Advanced AI Techniques and Their Applications in Interdisciplinary Fields

Organizer | 组织者

 

Introduction

With the rapid evolution of computing power, big data infrastructure, and algorithmic innovation, advanced AI techniques have entered an era of unprecedented development, transitioning from theoretical exploration to large-scale practical deployment. Contemporary AI research has witnessed breakthroughs in multiple frontier areas, such as deep learning with enhanced model architectures (e.g., Transformer-based models, graph neural networks), reinforcement learning with improved sample efficiency, and generative AI capable of producing high-fidelity text, images, and multi-modal content. Moreover, the integration of AI with other cutting-edge technologies, including quantum computing and edge computing, has opened up new avenues for addressing complex problems that were previously intractable. These advancements have not only elevated the performance of AI systems in terms of accuracy, efficiency, and generalization but also expanded their applicability across a wide range of interdisciplinary domains, making AI a core driving force for technological progress and industrial transformation.
The widespread adoption of advanced AI techniques is exerting a profound and far-reaching influence on people's daily lives, various industries, and the entire society. In daily life, AI-powered applications have become ubiquitous, from intelligent voice assistants and personalized recommendation systems that streamline daily routines to telemedicine platforms and smart home devices that enhance quality of life and convenience. Industrially, AI is reshaping traditional sectors such as manufacturing (through smart production lines and predictive maintenance), finance (via algorithmic trading and risk assessment), and agriculture (with precision farming and crop yield prediction), driving improvements in productivity, efficiency, and competitiveness. At the societal level, AI holds great potential for addressing global challenges such as climate change (through environmental monitoring and carbon emission prediction), public safety (via intelligent surveillance and disaster response), and education (with personalized learning and educational resource allocation). However, it also brings forth new considerations regarding ethics, privacy, and social equity, emphasizing the need for responsible and inclusive AI development.
Advanced AI techniques have demonstrated remarkable versatility in their implementation across key technical domains, including computer vision, natural language processing (NLP), data mining, and software engineering. In computer vision, AI algorithms enable tasks such as image recognition, object detection, semantic segmentation, and video analysis, powering applications ranging from autonomous vehicles and facial recognition systems to medical image diagnosis. In NLP, transformer-based models and pre-trained language models have revolutionized tasks such as machine translation, sentiment analysis, question answering, and text summarization, facilitating seamless human-computer interaction and cross-lingual communication. In data mining, AI techniques play a crucial role in extracting valuable insights from large and complex datasets, supporting tasks such as anomaly detection, clustering, classification, and association rule mining, which are essential for data-driven decision-making in various fields. In software engineering, AI is transforming the development lifecycle through automated code generation, bug detection, software testing, and maintenance, improving the efficiency and reliability of software products while reducing development costs.

 

Scope of the Session

Novel AI algorithms and models (deep learning, reinforcement learning, generative AI, etc.
AI applications in computer vision, NLP, data mining, and software engineering
Interdisciplinary integration of AI with healthcare, finance, manufacturing, education, etc.
Ethical, legal, and social issues in advanced AI development and application
Edge AI, quantum AI, and other emerging AI technologies and their applications

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Welcome to submit more proposal on ICMLC 2026 special session, please download:
 Proposals Submission Guidelines.

Learn more details or submit the proposal, please contact us:
Ms. Doris Ge
Email: icmlc@vip.126.com
Tel: +86-13709044746