Developed World’s First ‘Thinking’ Robot [Video]

Scientists from the University of Tokyo have developed an intelligent robot that can overcome walls and obstacles and think for itself for the first time in history.
 Developed World’s First ‘Thinking’ Robot [Video]
READING NOW Developed World’s First ‘Thinking’ Robot [Video]

This robot, which is approximately 7.5 cm in diameter and 5 meters in height, has opened an extremely important door for the future of robots that can think and have willpower just like humans. Japanese scientists used living brain cells they reproduced in the laboratory on this robot, allowing the robot to think for itself.

When the robot in question is left in a maze, it can decide on its own and find its way. This robot, which can only overcome the walls and obstacles around its own will, can do all this thanks to a technique called “physical reservoir calculation”.

The robot will be able to solve more complex problems in the future.

The article prepared for the robot in question was published in the scientific journal Applied Physics Letters. One of the lead authors of the study, Prof. Dr. Hirokazu Takahashi used the following statements about the world’s first robot that can think; “These nerve cells, or neurons, were grown from living cells taken from a brain. They served as physical reservoirs for the computer to generate coherent signals.”

When the robot, powered by artificial intelligence, makes a wrong move in the maze, it is stimulated by brain cells. This allowed the robot to come out of the maze thinking just like a human. According to Takashi, this robot will be able to solve more complex problems as work continues on it.

Expressing that they designed this robot inspired by the idea that “intelligence emerges from a mechanism that creates consistency from an irregular or chaotic situation”, Takashi used the following statements in the continuation of his statement; “A primary school kid’s brain cannot solve math problems in a college entrance exam because the dynamics of his brain are not rich enough. Task solving ability is related to how rich the spatio-temporal patterns the network can create. Robots with neurons can also solve more complex problems as their experience grows.”

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