As a researcher with a background in neuroscience and AI, I find this development by FinalSpark truly fascinating. The concept of training AI using human brain cells is not just a leap forward in technology, but a bridge between two realms that were once thought to be distinctly separate.
A tech company based in Switzerland, FinalSpark, has initiated a rental plan enabling researchers to use ‘biocomputers’ constructed from human brain cells at a monthly rate of $500.
According to FinalSpart, these biocomputers have been engineered to provide a more energy-efficient and effective option for teaching artificial intelligence (AI) systems.
The company claims that using organic material, like human brain cells, to train AI could be up to 100,000 times more efficient than traditional silicon-based systems.
As an analyst, I’m sharing my insights on a groundbreaking technology developed by FinalSpark, named Neurospark. This unique tech leverages clusters of human brain cells, known as organoids, to create living biocomputers. The platform offers real-time, online access to these active biological computers, which could revolutionize the field of AI development, expanding its potential in unprecedented ways.
Training AI with Brain Cells
Training AI with these biocomputers employs distinct strategies compared to standard practices. Unlike conventional AI models that learn through numerical rewards, the ones used in conjunction with brain cells depend more on biological approaches.
They provide dopamine, a chemical linked to rewards in the brain, to encourage learning and use electrical signals as negative feedback. This process better reflects how real human brains learn and adapt.
As a crypto investor, I’ve come to realize that the cutting-edge technology behind these biocomputers is impressive, but there’s a catch: their lifespan is relatively short, often just about 100 days. Once this period passes, the AI system I rely on must be moved to a fresh cluster or it will cease to operate effectively.
Given the current constraints, it subtly suggests potential advancements, like developing artificial intelligence that can have extended lifetimes, possibly mirroring human interactions and experiences in the future.
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2024-08-18 01:40