Neurons are the structural and functional units of the brain. With its help, a huge amount of information is analyzed in the brain. Researchers say that one of the reasons for this is that neurons perform the functions of both ‘processor’ and ‘memory device’ in the brain.

The power and mystery of the human mind is limitless! What if the human brain could be combined with man-made brains, computers, and artificial intelligence? A recent study published in the journal.

Neurons are the structural and functional units of the brain. With its help, a huge amount of information is analyzed in the brain. Researchers say that one of the reasons for this is that neurons perform the functions of both ‘processor’ and ‘memory device’ in the brain. This time, scientists are looking for ways to make computers work as effortlessly as the brain’s neurons work. This time ‘Brainwire’ has been added to that search. The computer, which combines traditional computer circuits with human brain cells and organoids made in the laboratory, can detect voice recognition. The computer, invented by Feng Guo and his colleagues at Indiana University Bloomington, is still not 100 percent accurate as an artificial intelligence computer. However, this discovery is an important step.

How does this’ brainwashing ‘work? Kuo said that a particular organoid is connected to the circuit of the computer with the help of many electrodes. After that, a gentle electric current is sent through them. The response of the organoid is taken with the help of a sensor. The meaning of the response is analyzed with the help of machine learning algorithms.

In the study, Brainwire listened to 240 recordings of eight people’s conversations. The device is 78 percent successful in the test to identify the speaker. Kuo said that they will carry out further research on ‘BrenoAir’ weather forecasting and whether it can perform more complex tasks.

This news is a creative derivative product from articles published in famous peer-reviewed journals and Govt reports:

References:
1. Cai, H., Ao, Z., Tian, C. et al. Brain organoid reservoir computing for artificial intelligence. Nat Electron 6, 1032–1039 (2023).
2. Tang, J. et al. Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges. Adv. Mater. 31, e1902761 (2019)
3. Sejnowski, T. J. & Rosenberg, C. R. Parallel networks that learn to pronounce English text. Complex Syst. 1, 145–168 (1987)
4. Samarasinghe, S. Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition (Auerbach Publications, 2016).
5. Gokmen, T. & Vlasov, Y. Acceleration of deep neural network training with resistive cross-point devices: design considerations. Front. Neurosci. 10, 333 (2016).

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