Although contemporary AI systems depend significantly on power-intensive silicon chips, a novel front is developing that might substantially alter our approach to computing.
This boundary isn’t based on metal or code; instead, it’s constructed using living human neurons.
The Shift Towards Biology in Computing
Around the world, scientists are competing to build biocomputers driven by lab-grown neural cells.
Leading the way is the Swiss firm FinalSpark, where neuroscientist Dr. Ewelina Kurtys and her group are growing networks of human neurons designed to act as “living processors.” Although these systems are currently in their early stages, they have the potential to outperform modern machinery in terms of energy efficiency and learning capabilities.
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Dr. Kurtys explained in an interview:
We are working on computers from living neurons because nerve cells are very energy efficient,
Their laboratory keeps approximately 10,000 neurons cultured on dishes, creating a neural network that can be conditioned through electric stimulation.
The secret hinges on replicating the brain’s inherent signaling method. In these trials, neurons are connected to electrodes, allowing them to transmit and receive messages similar to how our brains function.
Initial tests have enabled the group to save a solitary piece of data within this biological framework—an achievement that marks the feasibility of the idea, as highlighted in the report.
WP Tech
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A New Layer, Not a Replacement
Even with all the enthusiasm, biocomputers aren’t anticipated to completely take over from silicon-based processors.
I envision a future where various technologies will coexist and be utilized concurrently for differing objectives.
Dr. Kurtys
Although bioprocessors might excel at managing intricate, adaptable jobs, traditional computers will still cater to demands for rapid, large-scale data handling.
Other businesses are also exploring this area. Australia-based Cortical Labs has taught living cells to play ‘Pong,’ showcasing the neural network’s potential for interactive learning.
Towards a Dynamic AI Ecosystem
Even though present prototypes have limitations, the aspirations are quite grand. FinalSpark aims to create an operational biocomputer within ten years—a device with the potential to yield more than a billion dollars in yearly revenue.
If achieved, this integration of biology with technology has the potential to initiate a completely new epoch for artificial intelligence.
As the initial neural data points are captured, mankind might be observing the subtle beginnings of a sentient, cognizant artificial entity.
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