2027 International Conference on Embodied Intelligence, Cognitive Computing and Big Data (ICECB 2027)
Welcome
Welcome to
ICECB 2027
2027 International Conference on Embodied Intelligence,
Cognitive Computing and Big Data (ICECB 2027)
Venue
Chengdu
Conference Date
January 29-31, 2027
Full Paper Submission Date
November 15, 2026
Notification Date
December 15, 2026
Final Paper Submission Date
December 30, 2026
Registration Date
December 29, 2026
about
About ICECB 2027
The 2027 International Conference on Embodied Intelligence, Cognitive Computing, and Big Data (ICECB 2027) will be held in Chengdu, China, from January 29 to 31, 2027. Against the backdrop of the deep integration of embodied intelligence and cognitive science, as well as the paradigm shift in big data-driven decision-making, intelligent systems are comprehensively extending from the digital realm into the physical world. Concurrently, cognitive computing technologies continue to evolve toward human-like intelligence, context awareness, and adaptive learning. Focusing on three core themes—"Embodied Intelligence and Robotic Systems," "Cognitive Computing and Brain-Inspired Intelligence," and "Big Data Analytics and Knowledge Discovery"—this conference aims to build a premier international platform that spans fundamental theoretical innovation, key technological breakthroughs, and industrial application implementation.
We warmly welcome experts, scholars and professional and technical personnel engaged in relevant technical research to actively contribute and attend the conference.
CFP
The topics of interest for submission include,
But are not limited to:
📚︎Embodied Intelligence and Robotic Systems
Robot Vision and Scene Understanding
Physical Interaction and Dexterous Manipulation
Navigation, Localization, and Autonomous Mobility
Human-Robot Collaboration and Social Robots
Sim-to-Real Transfer Learning
Soft Robotics and Bionic Design
Ethics and Safety in Embodied Intelligence
📚︎Cognitive Computing and Brain-Inspired Intelligence
Neuromorphic Computing and Neural Morphological Chips
Attention Mechanisms and Consciousness Modeling
Symbol Grounding and Semantic Understanding
Affective Computing and Theory of Mind
Lifelong Learning and Knowledge Accumulation
Causal Inference and Decision Optimization
Cognitive Neuroscience-Inspired AI
📚︎Big Data Analytics and Knowledge Discovery
Distributed Computing and Storage Optimization
Knowledge Graph Construction and Reasoning
Time-Series Data Analysis and Forecasting
Graph Neural Networks and Relational Learning
Data Privacy Protection and Federated Learning
Visual Analytics and Interactive Exploration
Domain-Specific Big Data Applications
📚︎Interdisciplinary Integration and Frontier Applications
Intelligent Healthcare and Precision Diagnosis
Autonomous Driving and Intelligent Transportation
Intelligent Manufacturing and Industry 4.0
Smart Education and Personalized Learning
Metaverse and Digital Twins
Sustainable AI and Green Computing
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If you have any questions or inquiries,
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