Emerging Technologies

We're one step closer to making an artificial human brain, say scientists

A boy who was addicted to the internet, has his brain scanned for research purposes at Daxing Internet Addiction Treatment Center in Beijing February 22, 2014. As growing numbers of young people in China immerse themselves in the cyber world, spending hours playing games online, worried parents are increasingly turning to boot camps to crush addiction. Military-style boot camps, designed to wean young people off their addiction to the internet, number as many as 250 in China alone. Picture taken February 22, 2014. REUTERS/Kim Kyung-Hoon (CHINA - Tags: SOCIETY)ATTENTION EDITORS - PICTURE 20 OF 33 FOR PACKAGE 'CURING CHINA'S INTERNET ADDICTS'TO FIND ALL IMAGES SEARCH 'INTERNET BOOT CAMP' - RTR3WL80

Researchers have come another step closer to realizing the true potential of memristors. Image: REUTERS/Kim Kyung-Hoon

Jelor Gallego
Writer, Futurism
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Computers that work like the human brain are seen as one of the most promising ways we can achieve actual artificial intelligence. To create that, scientists are currently tapping the power of memristors, electrical components with surprising qualities.

Researchers have come another step closer to realizing the true potential of memristors. A team led by the University of Southampton has demonstrated that these electrical components can power an actual neural network.

Image: University of Southampton

Memristors are components with the surprising ability to remember their previous resistance, even if the device has been turned off. They show properties of real synapses, capable of memory storage, on-line learning, computationally powerful learning rule implementation, and a two-terminal structure.

Now, the research has shown that memristors can act as multi-state synapses. “[T]he metal-oxide memristor array was capable of learning and re-learning input patterns in an unsupervised manner within a probabilistic winner-take-all (WTA) network,” says a statementon the development.

That “unsupervised manner” means that the hardware was able to adapt to its environment without any human intervention, the memristor array can process even noisy data reliably, and in real-time.


The basis of any brain is the neural connections it can make, and that is true even for an artificial one. The power of any brain emulating computer will be the artificial synapses we are currently developing— and key to that will be these memristors.

“Whilst currently available electronic components can certainly be pieced together to create such synapses, the required power and area efficiency benchmarks will be extremely difficult to meet -if even possible at all- without designing new and bespoke ‘synapse components’,” says the statement.

The fact that these are mere electrical components means that they can be adapted to more than brain-emulating computers. This technology can hold special significance for devices considered to be a part of the Internet of Things. According to co-author Dr Themis Prodromakis, “This new type of hardware could find a diverse range of applications in pervasive sensing technologies to fuel real-time monitoring in harsh or inaccessible environments; a highly desirable capability for enabling the Internet of Things vision.”

One day, these devices will not only connect with each other but also understand and adapt to the things around them.

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