The BBC has reported on the advances made by scientists in Switzerland in the emerging field of Organoid Intelligence which uses human stem cells to build “mini-brains”, aka organiods.


A major problem with the neural networks currently being used for artificial intelligence is their power consumption. Training a large AI model on traditional hardware can use millions of watts of electricity. The human brain by contrast operates on just 20 watts.

Starting with human skin cells, FinalSpark, a company based in Switzerland, is growing tiny, lab-developed clusters of human brain cells referred to as “organoids”.

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After months of cultivation, the organoids are connected to electrodes which  allow electrical signals to be sent to and received effectively turning the cells into a component of a computing system. They are prompted to respond to simple commands, with the resulting electrical activity tracked on a computer.

The problem encounterd by such biological computers is keeping the organoids alive. Using a microfluidics system that supplies  both water and nutrients, FinalSpark has managed to sustain them for up to around four months.

The long-term goal is to train these organoids to learn and eventually perform complex tasks, leveraging their efficiency for next-generation AI systems.

While FinalSpark is making an important contribution towards a biological brain capable of General Artificial Intelligence, it isn’t alone, nor is the endeavour new. Back in January 2022 we reported on DishBrain, a biological neural network (BNN), that learned to play Pong in a simulated game world. Among the Related Articles in that report was Google Has A Network More Like the Brain, an item from 2019 which looked at Project Ihmehimmeli being undertaken by Google Research in Zurich. 

Here’s a really deep question – if a organoid achieves general intelligence is it artificial general intelligence?

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More Information

Scientists grow mini human brains to power computers


Related Articles

Brain In A Dish Learns To Play Pong

Neurons Are Smarter Than We Thought

Neurons Are Two-Layer Networks

Google Has A Network More Like The Brain 

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