Promising Technologies Predicted by Deep Learning-based Model

Kim Eun-jin | February 05, 2020

Promising Technologies Predicted by Deep Learning-based Model
The Korea Institute of Science and Technology Information (KISTI) and the Data Science Lab of Myongji University have selected the 10 most promising technological fields by using big data and artificial intelligence. The fields expected to show a very rapid growth until the mid-2020s include autonomous driving, energy, machine vision, biotechnology and robotics. The prediction is based on their deep learning-based future prediction model with an accuracy of over 86 percent.They used 16 million pieces of data published worldwide for the past 12 years in developing the prediction model. The data was classified into 4,500 subject categories and AI and deep learning techniques were employed for quantification by category of network structure data, research content and research fields.The 10 fields include renewable energy storage and conversion for hydrogen energy utilization. This technique for using hydrogen in fuel cells by producing it from water electrolyzed by renewable energy is expected to contribute to renewable energy storage and greenhouse gas emissions reduction.The other fields include the development of advanced and eco-friendly air conditioning and heating system materials. Examples of the materials expected to contribute to greenhouse gas emissions reduction include nano-adsorbents for use in adsorption air conditioners and heaters, which are predicted to replace electric air conditioners and heaters.

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