Test and Analysis of conversion data in oxide Gate-controlled Ion Transistor


With the development of new information technologies such as artificial intelligence and the Internet of things, information processing has shifted from computing-intensive to data-intensive. Low-latency and low-energy edge computing systems with unstructured data processing capabilities are urgently needed to meet the needs of terminal equipment for massive unstructured data processing capabilities in the future.
 
Biologically inspired impulsive neural network (SNN) has the characteristics of large-scale parallelism and low energy consumption because it uses sparse and asynchronous pulse sequences as input / output and processes information in the way of in-memory computing.
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