• Tech Trends

    Use AI to achieve smart sustainable water management

    In 2015, the United Nations "World Water Development Annual Report"pointed out that if there is no improvement in the future, the global water resource will be short of 40% by 2030. The shortage of water resource will cause water conflicts in different fields of people's livelihood, agriculture and industry. Such warning signs are now confirmed in Taiwan. Facing the difficult challenge of the "Hundred Years Drought", besides relying on rainfall, using digital technology, especially AI applications, to achieve effective water saving, high-efficiency water resources management and optimization of water allocation will be an alternative. This is one of the conclusions produced by the participants in the innovative technology application topic co-creation workshop held by this project.
    For example, the German Federal Ministry of Education and Research launched a three-year plan in 2019, to research and implement the possible sustainable water management solutions with 90 partners. By collecting big data on global water usage and forecasting water availability and drought by AI, German government called for changing the global foreseeable water dilemma. The key is that the public and private sectors should use digital technology on a long-term basis.
    Reference:https://bit.ly/3f1vfbf
    File download:https://bit.ly/3zFI42Q
  • Tech Trends

    The multiple innovative applications of AI technology

    Since 2016, after AlphaGo demonstrated the power of AI, this technology has swept the world and governments and industries have invested a lot to drive the continuous innovation and advancement. This project tries to find out the recent technology trend through text mining. From more than 5,000 articles published in the 2020 in 4 Top AI international seminar, one of the emerging technologies is the "emotion recognition", not only from text but also from facial expression and voice. Through the analysis and processing of the audio collected by the sensor, the machine will be able to recognize our disgust, fear, happiness, sadness and surprise and other different emotions. By allowing machines to hear the "overtones" of our speech, there will be more possible diversified and innovative application. For example, smart customer service can make the cold and standard voice interaction become a customized service or select appropriate response content based on customer emotions. It may also be used in the medical field to assist patients who have lost their voice due to illness or accidents, by customizing the exclusive speech synthesis system to increase the temperature of communication and interaction.
    Reference:https://bit.ly/3f26vQb
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