Machine learning techniques are being used to predict floods and droughts more accurately and quickly. These methods analyze data to improve predictions and reduce the impact of these dangerous events on people and economies. By using machine learning, researchers can better understand and anticipate hydrometeorological events, leading to more effective disaster preparedness and response strategies.