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A analysis group led by Prof. Kwon Hyuk-jun of the DGIST Division of Electrical Engineering and Pc Science has developed a next-generation AI semiconductor expertise that mimics the human mind’s effectivity in AI and neuromorphic techniques.
The development of AI has stimulated a quickly rising demand for energy-efficient semiconductor expertise with a quick operational velocity. Nonetheless, conventional computing units with their von Neumann structure and separate computing and reminiscence items have velocity and vitality effectivity shortcomings related to information processing bottlenecks. Consequently, analysis on neuromorphic units that mimic organic neurons’ simultaneous computing and reminiscence capabilities is gaining consideration.
In opposition to this backdrop, Prof. Hyuk-Jun Kwon’s group developed synaptic field-effect transistors utilizing hafnium oxide, which has sturdy electrical properties, and skinny layers of tin disulfide. This resulted in a three-terminal neuromorphic gadget able to storing a number of ranges of information in a fashion just like neurons.
The analysis efficiently replicated organic traits akin to short- and long-term properties, yielding a extremely environment friendly gadget that responds 10,000 instances quicker than human synapses and consumes little or no vitality.
Prof. Hyuk-Jun Kwon of the Division of Electrical Engineering and Pc Science stated, “This analysis marks an necessary step towards next-generation computing structure, which requires low energy consumption and high-speed computation. We have now developed high-performance neuromorphic {hardware} utilizing two-dimensional channels and ferroelectric hafnium oxide, and the innovation is anticipated to have numerous AI and machine learning-related purposes sooner or later.”
The analysis is printed within the journal Superior Science.
Extra data:
Chong‐Myeong Track et al, Ferroelectric 2D SnS2 Analog Synaptic FET, Superior Science (2024). DOI: 10.1002/advs.202308588
Journal data:
Superior Science
Offered by
DGIST (Daegu Gyeongbuk Institute of Science and Expertise)