Artificial synapses connected by high-speed electron probes. Image source: "Nature" magazine official website According to a recent report by the British magazine Nature, American scientists have developed a superconducting synapse that mimics the process of the human brain's nerve center. The information processing speed is faster and more efficient than the human brain. The researchers said that although the artificial synaptic business still faces many difficulties, it is a milestone in the history of the development of neuromorphic computing devices, which can be used in future brain-like computers. Neuromorphic calculations are considered to represent an important development direction for future artificial intelligence, inspired by the human brain. Neuromorphic devices mimic synapses and neurons, integrating components responsible for data storage and data processing into the same chip, enabling more energy-efficient, faster, and more efficient processing and learning of data. However, the current work efficiency of such devices is very low. This time, the team led by Michael Schneider of the National Institute of Standards and Technology (NIST) used the 铌 superconductor to create a neuron-like electrode and filled the gap between the superconductors with thousands of nano-magnetic manganese clusters. New artificial synapse. By changing the size of the magnetic field within the synapse, the nanoclusters can be aligned in different directions, enabling the system to encode information and computing power over other neuromorphic systems. Studies have shown that these synapses can transmit information billions of times per second, orders of magnitude faster than human neurons, and use only one-thousandth of the energy of biological synapses. Computational simulations show that synthetic neurons can check the inputs from nine sources and pass them to the next electrode. However, Schneider said that if used for complex calculations, millions of synapses are required; secondly, the synapses can only operate at temperatures close to absolute zero and are cooled in liquid helium. Steve Fober, a computer engineer at the University of Manchester in the United Kingdom, believes that this may make the chip unsuitable for small devices, but Schneider pointed out that cooling equipment requires less energy than traditional computers with equivalent computing power. California Institute of Electronics Engineers Carver Mead believes that the new method is very creative, but people are still not well understood key attributes of biological synapse, therefore, the new chip will be used in practical calculations needed a very long time. Editor-in-chief Smart Uv Printer,3D Photo Printer,3D Emboss Back Skin Printer,3D Relief Back Film Printer Shenzhen TUOLI Electronic Technology Co., Ltd. , https://www.hydrogelprotectors.com
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