International Symposium on AI on April 24-26, 2026 in Chengdu, China

International Symposium on AI on April 24-26, 2026 in Chengdu, China

Publication:

Submitted paper will be peer reviewed by conference committees, and accepted papers will be included in conference proceedings, indexed by EI Compendex & Scopus.

 

Submission:

Papers submitted to the conference should be in English and within 4-12 pages.

Accepted Full Paper will be invited to give the presentation at the conference and it'll be published in the conference proceedings.

Accepted Abstract will be invited to give the oral presentation at the conference, but the presentation WILL NOT be published.

Submission System: https://www.zmeeting.org/submission/isai2026

Paper Template: https://isai.org/instruct8.5x11x2.doc

More detail about submission, please via https://isai.org/sub.html

 

Conference Schedule:

Day 1, 24 April, 2026 10:00 – 15:00 Registration & Academic Visiting

Day 2, 25 April, 2026 09:00 – 18:50 Opening Remarks & Keynote Speech & Author Onsite Presentation (Oral/Poster)

Day 3, 26 April, 2026 09:00 – 15:15 Author Presentation

 

Contact:

Ms. Lesley Lei (Conference Secretary)

E-mail: [email protected]

Tel: 180-1066-7294

WeChat: iconf-ras send message "ISAI 2026"

 

 

Call for paper:

Topics of interest include, but are not limited to:

Track 1. AI and Machine Learning Advances

◆ Deep & Reinforcement Learning

- Transformer Models & Attention Mechanisms

- Meta-Learning & Few-Shot Learning

- Self-Supervised Learning

- Neural Architecture Search (NAS)

◆ Explainable & Trustworthy AI

- Interpretability in Deep Learning

- Bias and Fairness in AI Systems

- AI Accountability & Regulation

- Robustness & Adversarial Defense

◆ Optimization & Scalability

- Distributed & Federated Learning

- Quantum Machine Learning

- TinyML & Edge AI

- Energy-Efficient AI

 

Track 2. Intelligent Systems for Cybersecurity & Data Science

◆ AI-Driven Security Solutions

- Zero-Day Attack Detection with AI

- AI in Malware & Phishing Detection

- AI for Network Intrusion Detection

- Secure Multi-Agent Systems

◆ Privacy & Trust in AI

- Homomorphic Encryption & AI

- Differential Privacy in ML

- AI for Anomaly Detection

- Federated Learning for Privacy

◆ Big Data & AI Integration

- AI for Real-Time Stream Processing

- Graph Neural Networks for Data Mining

- AI in Cloud & Edge Data Analytics

- Scalable AI for IoT Data

 

Track 3. Natural Language Processing and Cognitive Computing

◆ Large Language Models (LLMs) & Beyond

- Multimodal & Embodied AI

- Retrieval-Augmented Generation (RAG)

- AI for Low-Resource Languages

- LLM Fine-Tuning & Optimization

◆ Knowledge & Reasoning Systems

- Neuro-Symbolic AI Integration

- Automated Knowledge Graph Construction

- Commonsense Reasoning in AI

- AI for Legal Document Analysis

◆ Speech & Human-AI Interaction

- Emotion & Sentiment Recognition

- Conversational AI & Chatbots

- AI in Virtual & Augmented Reality

- Accessibility Technologies with NLP

 

Track 4. AI for Industrial and Real-World Applications

◆ AI in Healthcare & Life Sciences

- Medical Imaging & Diagnostics

- AI for Drug Discovery

- Predictive Healthcare Analytics

- AI in Genomics & Precision Medicine

◆ Autonomous & Robotic Systems

- Self-Driving Vehicles & Drones

- AI for Industrial Robotics

- Swarm Intelligence

- Human-Robot Collaboration

◆ AI for Smart & Sustainable Systems

- AI in Energy Grid Optimization

- Climate Modeling with AI

- AI for Agriculture & Food Security

- Smart Manufacturing & Industry 4.0

 

Name: YOUNG

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