"AI Memory" explores how artificial intelligence can revolutionize memory retention and learning. It examines the intersection of AI, cognitive psychology, and semantics to reveal how AI-driven tools enhance learning efficacy through personalized study plans and optimized knowledge reinforcement. The book highlights how AI algorithms analyze user performance to adjust learning schedules, maximizing retention. Traditional education often uses a one-size-fits-all approach; however, this book champions a data-driven alternative catering to individual learning styles.

The book is structured in three parts, beginning with an introduction to human memory and AI, then transitions into an examination of spaced repetition systems and adaptive learning technologies, including case studies. The final part delves into creating personalized study plans, showing how AI can analyze individual learning styles.

By connecting AI with cognitive psychology and educational science, "AI Memory" contributes to the expanding field of AI-enhanced learning.