The article discusses a new technology being developed by researchers at Stanford University that aims to detect wildfires before they start using artificial intelligence (AI) and sensors. The system, called “AI Wildfire Sleuth,” combines data from weather sensors, cameras, and satellite imagery to identify potential fire risks. It uses machine learning algorithms to analyze patterns and detect anomalies that could indicate the early stages of a wildfire. The researchers claim that the system could provide up to 24 hours of advance warning, giving firefighters a crucial head start in containing the blaze. The technology is expected to be deployed across California by 2025, with the potential to significantly reduce the devastating impact of wildfires in the state. The article highlights the importance of early detection in wildfire management and the role AI can play in addressing this challenge.
Source: https://www.businessinsider.com/new-technology-ai-sensors-california-wildfire-detection-2025-1