FinalSpark claims that these biocomputers are meant to create a very low-energy, highly efficient answer for the increasing expenses connected with creating artificial intelligence models. The startup claims using organic material-based computers to teach artificial intelligence might be as much as 100,000 times more efficient than using conventional silicon-based technology.

Fred Jordan, the founder of FinalSpark, claims Neurospark is the only company providing access to clumps of human brian cells (organoids). One can see their technologies live online.

Conventional approaches for teaching artificial intelligence models sometimes included “reinforcement learning,” in which an AI model receives a reward for finishing a job. Usually, this so-called reward is just a numerical value meant to assist in calibrating the degree of behavior toward the desired result.

But scientists have to adopt methods that target brain cells if they want to offer both positive and negative reinforcement while training artificial intelligence models composed of the neurons within organoids. This entails providing neurons with dopamine, a chemical connected with reward, as positive reinforcement and an electrical impulse as negative reinforcement.

According to FinalSpark, their organoids have a maximum lifetime of up to 100 days. This theoretically suggests that an artificial intelligence system may be educated and run for a few months before either it would have to be moved to another cluster or face permanent loss.

Perhaps over longer distances, it will be feasible to design artificial intelligence systems with lifespans comparable to our own so as to match the artificial intelligence experience with human existence. One day, it is also theoretically conceivable that we could create blockchains running on computers composed of organic materials.

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