The primary aim of the field of artificial intelligence (AI) has historically been the creation of "thinking machines," or computer systems endowed with human-like general intelligence. Due to the inherent difficulties of this undertaking, for many years the focus of AI research has shifted towards "narrow AI," which involves developing systems capable of performing highly specialized tasks.
In recent years, however, there has been a renewed interest in returning to the foundational objectives of the field. A growing number of researchers now advocate for addressing the more complex issues related to "human-level intelligence" and "artificial general intelligence (AGI)." This resurgence in interest highlights the necessity of advancing our understanding of AGI, its potential, and the various pathways to achieving it.
Key questions that researchers and policymakers are now considering include:
What types of AGI systems might be achievable in the near future, and what will be their respective advantages and limitations?
What are the most critical unresolved challenges that must be overcome to develop human-level AGI?
What are the best methods for assessing the capabilities of AI systems as they near and eventually surpass human-level intelligence?
How can we ensure that emerging AGI systems are guided both cognitively and ethically during their development?
What roles should industry, government, academia, and the open-source community play in the future stages of AGI development?
How will the advent of AGI impact societal structures, employment, and everyday life?
The NSIC-AGI 2024 is positioned as the leading national event aimed at advancing the understanding and development of thinking machines with general intelligence at or beyond the human level. This event will bring together experts from various fields to explore these critical questions and chart a path forward for the future of AI and AGI.
Assoc. Prof. Ts. Dr. Mohd Naz’ri bin Mahrin
Dean
Faculty of Artificial Intelligence
Universiti Teknologi Malaysia (UTM)
Jalan Sultan Yahya Petra
54100 Kuala Lumpur
Dr. Azree Shahrel Ahmad Nazri
President of Artificial Intelligence Society Malaysia (ARTIS)
Appropriate topics for contributed papers include, but are not restricted to:
AGI Track
Agent Architectures
Benchmarks and Evaluation
Cognitive Modeling
Collaborative Intelligence
Creativity
Distributed AI
Formal Models of General Intelligence
Implications of AGI for Society, Economy and Ecology
Integration of Different Capabilities
Knowledge Representation for General Intelligence
Integration of Different Capabilities
Languages, Specification Approaches and Toolkits
Learning, and Learning Theory
Motivation, Emotion and Affect
Multi-Agent Interaction
Natural Language Understanding
Neural-Symbolic Processing
Perception and Perceptual Modeling
Philosophy of AGI
Reasoning, Inference and Planning
Reinforcement Learning
Robotic and Virtual Embodiment
Simulation and Emergent Behavior
Solomonoff Induction
AGI Architectures
Autonomy and Creativity
Broader Implications of AGI
Intelligent Computing Track
Algorithms & theory:
Evolutionary Computing and Learning
Genetic Algorithms
Particle Swarm Optimization and Niche Technology
Swarm Intelligence and Optimization
Independent Component Analysis
Blind Source Separation
Compressed Sensing and Sparse Coding
Natural Computing
Quantum Computing
Neural Networks
Nature Inspired Computing and Optimization
Signal Processing
Pattern Recognition
Biometrics Recognition
Image Processing
Information Security
Virtual Reality and Human-Computer Interaction
Business Intelligence and Multimedia Technology
Healthcare Informatics Theory and Methods
Biomedical Informatics Theory and Methods
Models & system:
Rough Sets
Fuzzy Theory and Algorithms
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Kernel Methods and Supporting Vector Machines
Machine Learning
Knowledge Discovery and Data Mining
Natural Language Processing and Computational Linguistics
Intelligent Computing in Robotics
Intelligent Computing in Computer Vision
Intelligent Computing in Finance/Banking
Intelligent Computing in Communication Networks
Intelligent Control and Automation
Intelligent Image/Document Retrievals
Intelligent Data Fusion
Intelligent Data Analysis & Prediction
Intelligent Agent and Web Applications
Intelligent Fault Diagnosis
Expert Systems
Intelligent Computing in Agriculture
Intelligent Computing in Healthcare