Forget Network Layers—Cortical Columns Think Like Graphs

What if the secret to human intelligence lies not in layers of neural networks, but in the brain’s elegant, repeating microarchitecture—cortical columns? In this groundbreaking video, we dive deep into the intersection of neuroscience and artificial intelligence to reveal how these tiny vertical circuits—just 100 neurons each—may hold the key to symbolic reasoning, concept formation, and common sense understanding. By reimagining the brain as a biological graph processor, we challenge the foundations of modern AI and unveil a radically more efficient model that could revolutionize cognitive architectures, machine learning, and next-generation AGI. If you're interested in brain-inspired computing, graph-based cognition, or how 20 watts of biology outperforms a data center, this is a video you can’t afford to miss. ________________________________________ Useful links: The Future AI Society: https://futureaisociety.org The Brain Simulator III (UKS) project: https://github.com/FutureAIGuru/BrainSimIII The Brain Simulator II (Neural Simulator) project: https://github.com/FutureAIGuru/BrainSimII Overview Video: https://youtu.be/W2uauk2bFjs More Details Video: https://youtu.be/6po1rMFZkik How the UKS Learns Video: https://youtu.be/Rv0lrem3lVs ________________________________________ The Future AI Society is a member community dedicated to adding Alternative AI approaches including Spiking Neural Networks and Enhanced Graph-based. The Society’s open source software includes the Brain Simulator II neural simulator and the Brain Simulator III graph-based system featuring the “Universal Knowledge Store” (UKS) which can create connections on its own between different types of real-world information (sight, sound, and touch). This represents the next generation of software beyond today’s machine learning, generative AI, and knowledge systems. Founder Charles J. Simon, BSEE, MSCS, is a nationally recognized entrepreneur, software developer and manager. With a broad management and technical expertise and degrees in both Electrical Engineering and Computer Science, Mr. Simon has many years of computer experience in industry including pioneering work on numerous neurological test system.