Insights

This article explores the application of Complementary Learning Systems (CLS) theory to production AI systems, highlighting key insights and design decisions. By mapping CLS theory to AI systems, we can improve the efficiency and effectiveness of these systems.

The Samson architecture is a cognitive framework that integrates multiple components to facilitate complex decision-making. This article delves into the architecture's design, highlighting key components and their interactions.

This article discusses neuroscience-inspired architectures for multimodal learning, exploring beyond the transformer. It highlights the potential of these architectures in improving AI systems.

Voice authentication faces a fundamental challenge: attackers evolve faster than static detection systems can adapt. This article explores how principles from memory research, particularly the distinction between rapid learning and gradual knowledge extraction, might inform the next generation of voice security systems.

Voice synthesis technology has reached the point where attacks are viable against organizations of any size. This analysis examines the technical evolution of voice cloning, the challenge of detection, and practical frameworks for organizational defense against synthetic voice fraud.

Current AI systems lack the autobiographical memory that grounds human identity. This analysis examines the gap between semantic retrieval and true episodic recall, exploring how Complementary Learning Systems theory and recent advances in memory-augmented architectures point toward AI systems capable of genuine experiential continuity.

The gap between AI demonstrations and deployed systems that work reliably is where most AI initiatives fail. This analysis examines what distinguishes successful AI products from impressive prototypes, drawing on experience building production systems across creative AI and security domains.