Have you ever imagined that the brain of Albert Einstein, the Nobel prize-winning physicist who gave the world the theory of relativity and the law of the photoelectric effect, was stolen after he died?
The theft of Albert Einstein's brain after his death was done without his family's consent and permission by pathologist Thomas Harvey.
His intent was to study the brain in hopes of discovering the source of Einstein's genius.
Harvey removed and preserved the brain, eventually handing it over to several doctors for further study over the decades.
In the years since, the brain has been studied extensively, with the findings leading to a greater understanding of how to maximize cognitive abilities.
Eistein died on the 18th of April 1955 of an abdominal aortic aneurysm, but before that time, he had given specific instructions regarding his remains.
His remains were to be cremated, and the ashes scattered secretly to avoid being idolised.
In an apparent contravention of Einstein's last wishes, however, hours after his death, his brain was stolen by the pathologist, who performed an autopsy on him.
Harvey, a pathologist at Princeton Hospital, New Jersey, where Einstein died, had performed an autopsy on him and used the opportunity to steal the brain of Einstein, his motive being to unlock Einstein’s genius.
The relationship between Albert Einstein's brain, AI, cognitive abilities, and emotional intelligence lies in the potential to learn more about human cognition.
Studies of Albert Einstein's brain have shown that some parts of his brain, such as the prefrontal cortex, were highly developed compared to others.
To the extent that this could potentially provide insights into the development of AI and emotional intelligence, as well as the development of cognitive abilities, in general, one might conclude that Einstein's brain studies are the foundations to today's exploits in AI and cognitive science.
By learning more about the brain structures and how they influence cognitive processes, researchers can potentially develop more powerful AI algorithms and build upon existing models of cognitive science and emotional intelligence.
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