The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282
Jul 15, 2019
Michael Levin, a professor of biology and director at the Allen Discovery Center, explores groundbreaking concepts in bioelectric computation and machine learning. He discusses how synthetic living machines can revolutionize AI architectures. Levin emphasizes the role of bioelectric processes in regeneration, revealing that DNA isn't the only player in shaping organism behavior. The conversation also touches on the potential of bioelectric medicine for transformative treatments in regenerative health and the intriguing parallels between biological systems and AI.
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DNA's Role
- DNA encodes proteins, which form the body's hardware.
- It doesn't directly encode high-level body plans, like limb number or symmetry.
Biological Adaptability
- Planarian flatworms regenerate any body part after being cut.
- Single-celled organisms exhibit complex behaviors and adapt to their environment.
Hardware vs. Software
- DNA creates hardware, but the "software" controlling body plan isn't directly encoded.
- Ion channels in cells act like transistors, creating electrically active circuits.