Research & Innovation
Advancing the frontiers of artificial intelligence through groundbreaking research in safety, ethics, and scalable intelligence.
Research Areas
Our multidisciplinary approach to advancing safe and ethical AI technology.
Cognitive Systems
Advanced research in cognitive architectures and bias detection for more reliable AI systems.
- Bias detection & mitigation
- Decision-making systems
- Cognitive architectures
- Neural processing
Knowledge Integration
Developing sophisticated systems for knowledge representation and integration.
- Knowledge graphs
- Semantic networks
- Information retrieval
- Data synthesis
AI Safety & Ethics
Ensuring the development of safe and ethical AI systems through rigorous research.
- Safety protocols
- Ethical frameworks
- Risk assessment
- Governance models
Latest Publications
Peer-reviewed research papers and technical publications from our team.
Solving the Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) AI Benchmark with ICOM
David Kelley, Kyrtin Atreides
A novel approach to solving the ARC-AGI benchmark using the Independent Core Observer Model cognitive architecture, demonstrating advanced reasoning capabilities.
Cognitive biases in natural language: Automatically detecting, differentiating, and measuring bias in text
David Kelley, Kyrtin Atreides
A comprehensive framework for detecting and measuring cognitive biases in natural language text, providing tools for bias analysis and mitigation.
Problem-Solving and Learning Strategies within the Independent Core Observer Model (ICOM) Cognitive Architecture
David J Kelley
An exploration of problem-solving methodologies and learning mechanisms within the ICOM cognitive architecture framework.
Non-Logical Simulation Model-based Decision-making Systems to Drive Self-Motivation in Software Systems
David J Kelley
A novel approach to implementing self-motivated decision-making in software systems using non-logical simulation models.
The Complex Chaos of Cognitive Biases and Emotional Observers
Kyrtin Atreides
An investigation into the intricate relationships between cognitive biases and emotional processing in artificial intelligence systems.
Research Impact
Our research directly influences the development of safer, more ethical AI systems.
Publications
Peer-reviewed papers published in leading AI research journals and conferences.
Citations
Our research is frequently cited and built upon by the global AI research community.
Collaborations
Active research partnerships with leading academic institutions and organizations.