A Brain Built From Atomic Switches Can Learn
A Brain Built From Atomic Switches Can Learn
9/23/2017
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summary
This article discusses a groundbreaking experiment in which researchers constructed a brain-like neural network using atomic switches. The researchers created a network of atomic-scale devices that emulates the function of neurons in the brain. They found that this network, called a 'memristive network', was capable of learning and adapting, just like a biological brain. The article explains that this research could lead to the development of more efficient and powerful artificial intelligence systems, as well as shed light on the fundamental processes underlying learning and memory in the human brain. The experiment demonstrates the potential for creating brain-like computational systems using atomic-scale devices.
tags
neuromorphic computing ꞏ artificial intelligence ꞏ brain-inspired computing ꞏ atomic switches ꞏ synaptic connections ꞏ artificial neural networks ꞏ machine learning ꞏ cognitive computing ꞏ brain architecture ꞏ brain-inspired algorithms ꞏ memory devices ꞏ brain-computer interface ꞏ neuroengineering ꞏ neurobiology ꞏ brain plasticity ꞏ nanotechnology ꞏ neurosynaptic systems ꞏ cognitive science ꞏ computational neuroscience ꞏ neurocomputing ꞏ brain-inspired hardware ꞏ brain-inspired circuits ꞏ brain-inspired systems ꞏ neural computation ꞏ pattern recognition ꞏ learning algorithms ꞏ neuroplasticity ꞏ bioinspired computing ꞏ neural networks ꞏ brain-inspired learning ꞏ brain-inspired models ꞏ brain-inspired sensors ꞏ brain-inspired robotics ꞏ brain-inspired interfaces ꞏ brain-inspired engineering ꞏ experimental neuroscience ꞏ brain-inspired machine learning ꞏ brain-inspired intelligence ꞏ atomic-scale switches ꞏ nanoscale devices ꞏ brain-inspired architectures