Researchers are exploring various machine learning models to predict flood depths and mitigate risks. These models incorporate physics and other factors, such as sea level rise and shoreline protection, to improve forecasting and resilience in coastal communities. Different approaches are being developed, including neural networks, gaussian processes, and graph neural networks, to better predict and prepare for floods.