A semiconductor and IC teaching BOT for accurate knowledge democratization
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Abstract
The pandemic of 2020 impacted different areas of society, such as health, the economy, and education. In addition, inequity to Internet access, to consumer electronic devices, and economic inequality increase the educational gap between developed and developing countries. Still, technological advances allow the possibility of mitigating the negative impacts by developing different tools to preserve the quality of education. Artificial Intelligence is a tool that has risen exponentially in the last years, primarily when it is used as an information browser. However, this tool must be more mature to guarantee the correct transmission of knowledge, especially in fields needing more available information. We present Silibot, a Chatbot that uses artificial intelligence models to support autonomous learning in semiconductor and integrated circuits fields. It is a tool developed to reduce inequity regarding access to education and complement the professors’ work during the classes. We implemented Silibot in Dialogflow CX with more than 90 % accuracy.
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