Similarity Between Brains and Computers – Same Vision?

Similarity Between Brains and Computers – Same Vision?

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A current examine from the researchers at Johns Hopkins College suggests synthetic neural networks can “understand” 3D objects in the identical “first-glance” manner our brains do — based on a current examine printed within the journal Present Biology on Thursday.

People use natural brains to mannequin synthetic neural networks — so we should not be shocked after they mimic natural brains.

Till, nonetheless, they turn out to be frighteningly comparable.

SEE ALSO: NEUROMORPHIC COMPUTING: HOW THE BRAIN-INSPIRED TECHNOLOGY POWERS THE NEXT-GENERATION OF ARTIFICIAL INTELLIGENCE

Human mind versus synthetic neural community

The human mind processes visible data by way of a number of sections of the mind, with every combining totally different facets of a perceived object to type a full picture.

From a scientific standpoint, that is how we come to understand the exterior world.

Nonetheless, the current examine exhibits how neurons within the V4 space — the primary part within the mind’s object imaginative and prescient — characterize 3D form fragments, not solely the 2D shapes — which runs opposite to scientific consensus held usually all through the final 40 years, stories TechXplore.

Nonetheless, scientists had been appalled to note the identical patterns the mind makes use of to see in a man-made neural community — after finding out the AlexNet algorithm, which is a sophisticated pc imaginative and prescient community, Futurism stories.

Johns Hopkins College neuroscientist and examine writer Ed Connor and his workforce utilized the identical assessments of picture responses to pure and synthetic neurons and found spookily comparable response patterns within the mind’s V4 part and AlexNet’s layer 3.

“I used to be shocked to see sturdy, clear alerts for 3D form as early as V4,”  mentioned Conner in a press launch concerning the shocking findings. “I by no means would have guessed in 1,000,000 years that you’d see the identical factor taking place in AlexNet, which is simply skilled to translate 2D images into object labels.”

Studying extra than simply imaginative and prescient from computer systems 

“Synthetic networks are probably the most promising present fashions for understanding the mind,” added Conner. “Conversely, the mind is the most effective supply of methods for bringing synthetic intelligence nearer to pure intelligence.”

This newest examine may signify the approaching of a brand new norm for synthetic neural networks — the place as a substitute of utilizing what we all know concerning the mind to construct computer systems, we glance to computer systems to learn the way our brains work. It is a paradoxical time to be alive, whether or not we’re wanting on the world with a human mind or a pc’s neural community.

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