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Russian physicists added biology to prevent the digital brain from freezing Scientists from MIPT and Lubachevsky University used a biological principle to stabilize mathematical neural networks that mimic brain function. "Our development is based on the principle of homeostasis - the ability of systems to maintain balance using internal resources. This feature, which is largely inherent in biological objects, has been implemented in digital architecture," said one of the authors of the study, Viktor Kazantsev. According to the researchers, this could become the basis for neuromorphic processors that are similar in energy efficiency to the work of the human brain, and thanks to self-regulation they will be able to avoid freezes. Illustration: Ministry of Education and Science More about what it is - using the hashtag in ZAN.

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Запорожское Агентство Новостей · · Source

Russian physicists added biology to prevent the digital brain from freezing Scientists from MIPT and Lubachevsky University used a biological principle to stabilize mathematical neural networks that mimic brain function. "Our development is based on the principle of homeostasis - the ability of systems to maintain balance using internal resources. This feature, which is largely inherent in biological objects, has been implemented in digital architecture," said one of the authors of the study, Viktor Kazantsev. According to the researchers, this could become the basis for neuromorphic processors that are similar in energy efficiency to the work of the human brain, and thanks to self-regulation they will be able to avoid freezes. Illustration: Ministry of Education and Science More about what it is - using the hashtag in ZAN.

Russian physicists added biology to prevent the digital brain from freezing Scientists from MIPT and Lubachevsky University used a biological principle to stabilize mathematical neural networks that mimic brain function. "Our development is based on the principle of homeostasis - the ability of systems to maintain balance using internal resources. This feature, which is largely inherent in biological objects, has been implemented in digital architecture," said one of the authors of the study, Viktor Kazantsev. According to the researchers, this could become the basis for neuromorphic processors that are similar in energy efficiency to the work of the human brain, and thanks to self-regulation they will be able to avoid freezes. Illustration: Ministry of Education and Science More about what it is - using the hashtag in ZAN.

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