In today’s technological world, genius minds are constantly working to ease human life. And now, if we tell you that a nanoscale device could soon be used to power artificial systems that can mimic the human brain, would you believe us? A new research by the University of Southampton has showcased that a memristor known as Artificial neural networks (ANNs) displays learning abilities and can perform tasks that are difficult for conventional computing systems. For instance: Pattern recognition, on-line learning and classification.
But do you know what a memristor is? Well, this is an electrical component that regulates the flow of electrical current in a circuit. Apart from this, a memristor can even remember the amount of charge that was flowing via it and retain the data, even when the power is turned off.
According to this research that was published in the journal Nature Communications, “Practical ANN implementations are currently being impeded by the lack of efficient hardware synapses, which is a major component that every ANN needs in large numbers.
Alex Serb, the lead researcher from Electronics and Computer Science at the University of Southampton, said, "If we want to build artificial systems that can mimic the brain in function and power we need to use hundreds of billions, perhaps even trillions of artificial synapses, many of which must be able to implement learning rules of varying degrees of complexity.
Serb further added, “Memristors offer a possible route towards that end by supporting many fundamental features of learning synapses (memory storage, on-line learning, computationally powerful learning rule implementation, two-terminal structure) in extremely compact volumes and at exceptionally low energy costs.”
Themis Prodromakis, the co-author of the study, said, “Our work establishes such a technological paradigm shift, proving that nanoscale memristors can indeed be used to formulate in-silico neural circuits for processing big-data in real-time.”
Let’s wait and watch whether this discovery is a bane or boon for mankind. Stay tuned to Gizmodo for more such updates from the world of Science.
In today’s technological world, genius minds are constantly working to ease human life. And now, if we tell you that a nanoscale device could soon be used to power artificial systems that can mimic the human brain, would you believe us? A new research by the University of Southampton has showcased that a memristor known as Artificial neural networks (ANNs) displays learning abilities and can perform tasks that are difficult for conventional computing systems. For instance: Pattern recognition, on-line learning and classification.But do you know what a memristor is? Well, this is an electrical component that regulates the flow of electrical current in a circuit. Apart from this, a memristor can even remember the amount of charge that was flowing via it and retain the data, even when the power is turned off.According to this research that was published in the journal Nature Communications, “Practical ANN implementations are currently being impeded by the lack of efficient hardware synapses, which is a major component that every ANN needs in large numbers.Alex Serb, the lead researcher from Electronics and Computer Science at the University of Southampton, said, "If we want to build artificial systems that can mimic the brain in function and power we need to use hundreds of billions, perhaps even trillions of artificial synapses, many of which must be able to implement learning rules of varying degrees of complexity.Serb further added, “Memristors offer a possible route towards that end by supporting many fundamental features of learning synapses (memory storage, on-line learning, computationally powerful learning rule implementation, two-terminal structure) in extremely compact volumes and at exceptionally low energy costs.”Themis Prodromakis, the co-author of the study, said, “Our work establishes such a technological paradigm shift, proving that nanoscale memristors can indeed be used to formulate in-silico neural circuits for processing big-data in real-time.”Let’s wait and watch whether this discovery is a bane or boon for mankind. Stay tuned to Gizmodo for more such updates from the world of Science.
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