Changelog Interviews Biocomputing on human neurons
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Aug 14, 2025 Ewelina Kurtys, a scientist and entrepreneur with a PhD in neuroscience, is at the forefront of biocomputing at FinalSpark. In this engaging discussion, she uncovers the potential of lab-grown human brain organoids as processors and their energy efficiency compared to silicon chips. Kurtys explores the complexities of translating neuronal activity into usable data, highlighting the innovative applications of AI in neuroscience and the challenges of developing technology that mimics human learning processes. It's a fascinating peek into the future of neuron-powered computing!
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Remote Access To Live Human Neurons
- FinalSpark gives remote, programmatic access to live human neurons via a browser and Python API.
- The goal is to use neurons as energy-efficient processors, though full general-purpose biocomputers are still R&D.
Huge Energy Advantages Of Neurons
- Neurons are estimated to be about a million times more energy efficient than silicon.
- This efficiency motivates biocomputing as a potential solution to AI's growing energy demands.
Neurons Need New Programming Paradigms
- Neurons encode information in space and time, not binary zeros and ones.
- This requires entirely new programming paradigms analogous to the shift needed for quantum computing.