Scientists from Johns Hopkins University (USA) presented the project of a new generation of biocomputers.
Publika.az reports that according to the authors of the project, such a device will be able to solve complex calculation problems. This field is conventionally called “organoid intelligence”.
Scientists have noted that while the silicon-based computers we are used to do well with numbers, the real brain has a greater learning capacity.
Brain organelles are clusters of stem cells transformed into three-dimensional models. They mimic the structure and function of the brain, but are more primitive than a real organ. Organoids were first created in the laboratory in 2013 for microcephaly research. Later, it was used to study other diseases such as Alzheimer’s and Parkinson’s diseases.
The organelles are equipped with cells that help the real brain receive and store information. Therefore, according to scientists, such structures are suitable for computational tasks that require fast learning without consuming much energy. Information can be stored in compact neural connections.
The authors of the study noted that there are about 100 billion neurons in the human brain.
Bioengineering and machine learning tools can be used to create biocomputers. They will allow not only to send and receive information from individual organelles, but also to connect them in complex networks of brain groups.
But this project is hindered by ethical standards. So far, scientists have grown organelles from fewer than 50,000 neurons. But to create a powerful computer, it will be necessary to increase their number to at least 10 million. According to a number of experts, such a structure is capable of acquiring some form of intelligence and consciousness of its own.
Ayşan
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