Zan Huang | Adapting Neurological Structures to AI

The Foresight Institute Podcast

Zan Huang is a researcher with a passion for alternative computational models in artificial intelligence, mass social patterns, chaotic and emergent systems, and linguistics. Currently focused on scaling deep neural networks through neurologically inspired modularity, he explores critical questions around reducing parameter space, enhancing interpretability, and developing self-similar task divisions akin to brain functionality.

Key Highlights

• Discussion of the adaptation of neurological structures for AI, proposing that neuroscience is crucial for understanding intelligence.
• Argument that certain principles of physics and mathematics apply to biological systems, like the brain, and that these can inform foundational models for AI.
• Exploration of concepts related to thermodynamics, information theory, and the fractal nature of intelligence. H
• Presentation of a neuro AI framework that emphasizes self-supervision, streamification, and task prioritization inspired by brain functionality to create more robust AI systems.

About Foresight Institute

Foresight Institute is a research organization and non-profit that supports the beneficial development of high-impact technologies. Since our founding in 1987 on a vision of guiding powerful technologies, we have continued to evolve into a many-armed organization that focuses on several fields of science and technology that are too ambitious for legacy institutions to support.

Allison Duettmann

The President and CEO of Foresight Institute, Allison Duettmann directs the Intelligent Cooperation, Molecular Machines, Biotech & Health Extension, Neurotech, and Space Programs, alongside Fellowships, Prizes, and Tech Trees. She has also been pivotal in co-initiating the Longevity Prize, pioneering initiatives like Existentialhope.com, and contributing to notable works like "Superintelligence: Coordination & Strategy" and "Gaming the Future".

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