The Changelog: Software Development, Open Source Biocomputing on human neurons (Interview)
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Aug 14, 2025 Dr. Ewelina Kurtys, a pioneering neuroscientist and co-founder of FinalSpark, leads an intriguing exploration into biocomputing using human neurons. She shares insights on lab-grown brain organoids and their potential to tackle AI’s energy consumption challenges. Kyle Galbraith, CEO of Depot, highlights the intersection of software efficiency with groundbreaking biocomputing techniques. The discussion dives into transforming digital signals to neurotransmitter interactions and the future implications of merging biological intelligence with AI, sparking excitement for potential advancements in technology.
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Remote Access To Human Neurons
- FinalSpark provides remote, browser-based access to real human neurons for experiments via a Python API.
- They aim to use living neurons as energy-efficient processors to explore biocomputing possibilities.
Massive Energy Efficiency Potential
- Neurons are estimated to be roughly one million times more energy efficient than silicon-based processors.
- FinalSpark sees energy efficiency as a core motivation for pursuing biocomputing.
Neurons Use A Different Code
- Neurons encode information in space and time rather than binary zeros and ones, so programming requires new paradigms.
- This mismatch with digital logic makes biocomputing comparable to the challenge of quantum algorithms.