Advancing Artificial General Intelligence Beyond Narrow AI

Developing versatile, self-learning systems with cognitive adaptability inspired by human intelligence.

Read the Whitepaper Join Our Research

AGI IQ Whitepaper: A Path to General Intelligence

Our whitepaper outlines the theoretical foundations, technical architecture, and future implications of AGI IQ. It is designed for scholars, researchers and AI professionals interested in understanding the path toward cognitive flexibility in AI systems.

  • Cognitive Flexibility and Meta-Learning
  • Machine Learning and Cognitive Science Integration
  • Decision-Making Algorithms
  • Ethical Considerations in AGI Development
Download the Full Whitepaper

Key Components of AGI IQ

Cognitive Flexibility

A system capable of learning across multiple domains and tasks without manual reconfiguration.

Human-AI Collaboration

Facilitates intuitive human-AI interaction, enabling seamless feedback and real-time decision-making.

Meta-Learning and Adaptability

Incorporates advanced meta-learning techniques, including Model-Agnostic Meta-Learning (MAML), to ensure rapid adaptation.

System Architecture of AGI IQ

Knowledge Management Module handling the reasoning about relationships between concepts, using knowledge graphs.

Adaptation Module using meta-learning to adapt rapidly to new tasks.

Interaction Interface supporting feedback from users, improving human-AI interaction over time.

The Team Behind AGI IQ

Dr. Adam Kowalski

Lead Researcher - Cognitive Science and AI

Prof. Wojciech Nowak

Machine Learning Specialist

Collaborate with Us

We invite researchers and professionals in artificial intelligence, cognitive science, and machine learning to collaborate with us. Together, we can accelerate the development of general intelligence.

Join Our Research