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On Fri, 14 Feb, 12:12 AM UTC
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A Clue to Improving the Completeness Level of Neuromorphic Devices Has Been Discovered | Newswise
Newswise -- A Korean research team has succeeded in securing a basic technology for further improving the completeness level of neuromorphic devices. The Korea Research Institute of Standards and Science (KRISS, President: Lee, Ho Seong) announced that it has become Korea's first institute observing the finestructure of magnon*, which is attracting attention as a key material for neuromorphic devices. As areas that are approximately 1,000 times finer than before were observed successfully, it is expected that the observation results will enable the design of more sophisticated neuromorphic devices. Neuromorphic devices are next-generation semiconductors designed to mimic the structure of the human brain. They process information by mimicking the way neurons generate signals and transmit them to other neurons through synapses. Unlike classical semiconductors where data processing devices and storage devices exchange information with each other, neuromorphic devices perform both data storage and processing simultaneously, allowing for rapid processing of massive amounts of information with little power. This is why neuromorphic devices are considered an innovative technology that will drastically reduce the power consumption of artificial intelligence (AI), which has been rapidly increasing recently. Magnons are a promising material for implementing neuromorphic devices. This is because they are capable of simultaneously sending multiple signals at ultra-low power by utilizing their unique characteristics of transmitting energy to other spins in a ripple-like manner when energy is applied to one quantum spin. However, with the existing level of technology, only a few areas with large bandwidths in the entire structure of magnons can be investigated; therefore, the implementation of high-performance magnon-based neuromorphic devices devices has been limited. The KRISS Quantum Magnetic Sensing Group has become Korea's first research group that observed the entire structure of magnons in the frequency domain. Using VNA* equipment, the research group discovered that numerous fine frequency structures are present around the previously known frequency domain of magnons. The research group was able to confirm the entire structure of magnons by transmitting electric signals and analyzing the reflected and penetrated spectrum. Magnons are typcially measured in the gigahertz (GHz) range. The newly found fine structure of magnons in the megahertz (MHz) range can enhance their functionality. Just as the stronger the connections between neurons, the more active the brain becomes, it is expected that finely adjusting the frequency of magnons will allow for more sophisticated design of neuromorphic devices, further enhancing their performance. In particular, the magnon observation technology used by the research group in this study is expected to be widely used in research and development of related devices, because it is an electrical method that is faster and simpler than the conventional optical method of converting photon signals in a specific area. Kyongmo AN, a visiting researcher of KRISS's Quantum Magnetic Sensing Group, said, "In addition to neuromorphic devices, magnons are also drawing attention as a material for implementing quantum spin qubits, quantum ultra-high-speed networks, and next-generation high-precision sensors." He added, "We will accelerate the development of application devices based on the structure of the magnons found through our study." This research result was supported by the Sejong Science Fellowship Grant Program of the Ministry of Science and ICT and was published in August in the internationally renowned journal, Nature Communications (IF: 14.7).
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Korean team unveils fine structure of magnons for neuromorphic devices
A Korean research team has succeeded in securing a basic technology for further improving the completeness level of neuromorphic devices. Their paper is published in the journal Nature Communications. Researchers from the Korea Research Institute of Standards and Science observed the fine structure of the magnon, which is attracting attention as a key material for neuromorphic devices. As areas that are approximately 1,000 times finer than before were observed successfully, it is expected that the results will enable the design of more sophisticated neuromorphic devices. Neuromorphic devices are next-generation semiconductors designed to mimic the structure of the human brain. They process information by mimicking the way neurons generate signals and transmit them to other neurons through synapses. Unlike classical semiconductors where data processing devices and storage devices exchange information with each other, neuromorphic devices perform both data storage and processing simultaneously, allowing for rapid processing of massive amounts of information with little power. This is why neuromorphic devices are considered an innovative technology that will drastically reduce the power consumption of artificial intelligence (AI), which has been rapidly increasing recently. Magnons are a promising material for implementing neuromorphic devices. This is because they are capable of simultaneously sending multiple signals at ultra-low power by utilizing their unique characteristics of transmitting energy to other spins in a ripple-like manner when energy is applied to one quantum spin. However, with the existing level of technology, only a few areas with large bandwidths in the entire structure of magnons can be investigated; therefore, the implementation of high-performance magnon-based neuromorphic devices has been limited. The KRISS Quantum Magnetic Sensing Group observed the entire structure of magnons in the frequency domain. Using VNA equipment, the researchers discovered that numerous fine frequency structures are present around the previously known frequency domain of magnons. The research group was able to confirm the entire structure of magnons by transmitting electric signals and analyzing the reflected and penetrated spectrum. Magnons are typically measured in the gigahertz (GHz) range. The newly found fine structure of magnons in the megahertz (MHz) range can enhance their functionality. Just as the stronger the connections between neurons, the more active the brain becomes, it is expected that finely adjusting the frequency of magnons will allow for more sophisticated design of neuromorphic devices, further enhancing their performance. In particular, the magnon observation technology used by the research group in this study is expected to be widely used in research and development of related devices, because it is an electrical method that is faster and simpler than the conventional optical method of converting photon signals in a specific area. Kyongmo AN, a visiting researcher of KRISS's Quantum Magnetic Sensing Group, said, "In addition to neuromorphic devices, magnons are also drawing attention as a material for implementing quantum spin qubits, quantum ultra-high-speed networks, and next-generation high-precision sensors. "We will accelerate the development of application devices based on the structure of the magnons found through our study."
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A Korean research team has made a breakthrough in observing the fine structure of magnons, potentially improving neuromorphic devices that mimic brain function. This discovery could lead to more efficient AI systems with reduced power consumption.
Researchers from the Korea Research Institute of Standards and Science (KRISS) have achieved a significant milestone in the field of neuromorphic computing. The team has become the first in Korea to observe the fine structure of magnons, a key material for neuromorphic devices, at a resolution approximately 1,000 times finer than previous observations 12.
Neuromorphic devices are next-generation semiconductors designed to mimic the structure and function of the human brain. Unlike traditional semiconductors, these devices can simultaneously store and process data, allowing for rapid processing of massive amounts of information with minimal power consumption 1.
Magnons, which are quantum-level disturbances in magnetic materials, have emerged as a promising material for implementing neuromorphic devices. They can transmit multiple signals simultaneously at ultra-low power by propagating energy to other spins in a ripple-like manner 2. However, until now, only large bandwidth areas of magnon structures could be investigated, limiting the development of high-performance magnon-based neuromorphic devices.
The KRISS Quantum Magnetic Sensing Group has successfully observed the entire structure of magnons in the frequency domain using Vector Network Analyzer (VNA) equipment. This breakthrough revealed numerous fine frequency structures around the previously known frequency domain of magnons 12.
While magnons are typically measured in the gigahertz (GHz) range, the newly discovered fine structures in the megahertz (MHz) range could significantly enhance their functionality. Kyongmo AN, a visiting researcher at KRISS, explained, "Just as stronger connections between neurons lead to increased brain activity, finely adjusting the frequency of magnons will allow for more sophisticated design of neuromorphic devices, further enhancing their performance" 1.
The implications of this discovery extend beyond neuromorphic computing. Magnons are also attracting attention as a material for implementing quantum spin qubits, quantum ultra-high-speed networks, and next-generation high-precision sensors 2. The research team plans to accelerate the development of application devices based on the newly observed magnon structures.
The magnon observation technology employed in this study offers significant advantages over conventional methods. It uses an electrical approach that is faster and simpler than the traditional optical method of converting photon signals in specific areas. This makes it more accessible for research and development of related devices 12.
This breakthrough is expected to pave the way for the design of more sophisticated neuromorphic devices, potentially revolutionizing AI systems by drastically reducing their power consumption. As AI applications continue to grow, the development of energy-efficient computing solutions becomes increasingly critical 1.
The Korea Research Institute of Standards and Science (KRISS) has successfully generated and controlled skyrmions at room temperature in 2D materials, potentially revolutionizing AI semiconductors and quantum computing.
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Researchers at POSTECH and IBM have uncovered the operating mechanisms of Electrochemical Random-Access Memory (ECRAM), a promising technology for in-memory computing in AI applications. This discovery could lead to faster and more efficient AI performance in various devices.
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Researchers discover a method to control magnetism in lanthanum strontium manganite using voltage, paving the way for energy-efficient neuromorphic circuits and advanced AI technologies.
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Researchers at the National University of Singapore have developed a revolutionary silicon transistor that can function like both a neuron and a synapse, potentially transforming the field of neuromorphic computing and AI hardware efficiency.
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An international team of researchers has developed a novel method for photonic in-memory computing, potentially revolutionizing optical computing with improved speed, efficiency, and robustness.
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