Advancing Disaster Risk Reduction through AI: Insights from Science and Technology Conference.

Implementing AI Technology for Early Prediction of Natural Disaster Risks

At a conference on science and technology’s role in reducing natural disaster risks and responding to climate change, Professor Tran Thuc highlighted the importance of applying artificial intelligence to improve forecasting accuracy. He emphasized how advancements in technology have enhanced hydrometeorological observation, analysis, and forecasting, with the use of automatic monitoring stations, weather radar, lightning positioning, and satellites. By leveraging supercomputers and computing technology, scientists can analyze data more efficiently and accurately.

Deputy Minister of Natural Resources and Environment Le Cong Thanh echoed concerns about the increasing frequency and devastation of natural disasters due to climate change. He emphasized the pivotal role of science and technology in forecasting, preventing, and mitigating natural disaster risks. The Minister encouraged scientists to explore innovative solutions to address these challenges and promote sustainable development.

Deputy Minister of Science and Technology Tran Hong Thai urged scientists to spearhead the application of digital transformation and artificial intelligence in hydrometeorology to combat climate change effectively. He emphasized the importance of forming a strong research group to drive advancements in this field and contribute to reducing natural disaster risks.

Researchers showcased the use of advanced technologies such as cloud computing, Internet of Things (IoT), big data,

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