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7th International Conference on Artificial Intelligence and Big Data (AIBD 2026)

AIBD 2026

URL: https://acsty2026.org/aibd/index
Event Date: 2026-02-27 ~ 2026-02-28
Submission Date: 2026-02-07
Location: Vancouver, Canada

Artificial Intelligence

7^th International Conference on Artificial Intelligence and Big Data (AIBD 2026)

February 27 ~ 28, 2026, Vancouver, Canada

https://acsty2026.org/aibd/index

Scope

7^thInternational Conference on Artificial Intelligence and Big Data (AIBD 2026) invites high quality research contributions that advance the theory, practice, and frontiers of AI and large scale data systems. As AI and Big Data technologies continue to transform science, industry, and society, AIBD 2026 provides a premier international forum for researchers, practitioners, and innovators to present breakthroughs, discuss emerging challenges, and shape the future of intelligent data driven systems.

Topics of interest include, but are not limited to, the following

Artificial Intelligence

Foundations of Artificial Intelligence

AI algorithms and optimization

Knowledge representation and reasoning

Computational learning theory

Heuristic search, planning, and decision making

Hybrid and neuro symbolic AI

Intelligent system architectures

Knowledge based and expert systems

Machine Learning & Deep Learning

Machine learning theory and methods

Deep learning architectures and training techniques

Neural networks and representation learning

Generative AI and foundation models

Multimodal learning (vision language audio)

Reinforcement learning and sequential decision making

Transfer, meta, and continual learning

Explainable, trustworthy, and responsible AI

Natural Language, Vision & Multimodal AI

Natural language processing and understanding

Large language models and prompting techniques

Speech, audio, and signal processing

Computer vision and pattern recognition

Cross modal reasoning and multimodal fusion

Robotics, Autonomous Systems & Intelligent Agents

Robotics and intelligent control

Human robot interaction

Autonomous navigation and decision systems

Multi agent systems and swarm intelligence

Big Data Foundations & Infrastructure

Big Data systems, platforms, and architectures

Distributed, cloud, and edge computing for data intensive workloads

High performance data processing and storage

Data engineering, pipelines, and workflow automation

5G/6G and next generation networks for Big Data

Big Data Analytics & Applications

Data mining, knowledge discovery, and predictive analytics

Large scale graph analytics and network science

Social media, web, and behavioral analytics

Big Data applications in

healthcare, bioinformatics, finance, and smart cities

Real time and streaming data analytics

Data Management, Security & Governance

Big Data management, integration, and quality

Data search, indexing, and retrieval

Data privacy, security, and trust

Federated learning and privacy preserving analytics

Blockchain and distributed ledger technologies for data systems

AI for Big Data & Big Data for AI

Scalable machine learning on distributed systems

AI accelerated data processing

Data centric AI and dataset engineering

Optimization of AI workloads on cloud and edge platforms

Emerging Trends & Future Directions

Ethical, legal, and societal implications of AI and Big Data

Sustainable and green AI/data systems

Quantum machine learning and quantum data processing

Edge AI, TinyML, and on device intelligence

Advances in generative AI, autonomous agents, and AI safety

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 07,2026(Last Call). Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).