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Institute for Mathematical Research, UPM +603.9769.8923 nsicagi2024@gmail.com
Introduction

Welcome to NSIC-AGI 2024 | INSPEM, UPM

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.

Speakers



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)



Topics

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

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