Artificial intelligence is everywhere. But is it actually intelligent?
Today's generative AI systems can write, summarize, classify, and create at astonishing speed. Yet they still hallucinate, misunderstand context, struggle with real-world pattern recognition, and operate as black boxes even their designers cannot fully explain.
In Brain-Inspired Artificial Intelligence: How the Brain Will Revolutionize AI, William A. Lambos, Ph.D., argues that the next leap in machine intelligence will not come from simply scaling larger models, adding more data, or building bigger data centers. It will come from understanding the most sophisticated intelligence system we already know: the biological brain.
Drawing from neuroscience, clinical neuropsychology, data science, and computational modeling, Dr. Lambos explores why human Intelligence is fundamentally different from generative AI, and why agency, embodiment, prediction, salience, pattern recognition, and world models may be essential to building safer, more accurate, and more flexible AI systems.
Inside this book, readers will discover:
- Why generative AI is not the same as human Intelligence
- Why transformer-based models struggle with hallucinations, context, and meaning
- How the brain creates Intelligence through agency, adaptation, and biological need
- How neuroscience can inspire new approaches to neural networks, deep learning, and machine intelligence
- Why the future of AI may depend on brain-inspired design
A licensed clinical neuropsychologist, neuroscientist, and data scientist, Dr. Lambos brings a rare cross-disciplinary perspective to one of the most urgent technological questions of our time.
For AI professionals, computer scientists, neuroscientists, engineers, philosophers, and curious readers, this book offers a bold argument: the next revolution in AI will come from understanding how the brain creates human-like intelligence at the intersection of the outside world and the biological needs that arise from within.
