Using AI to Assess Hurricane Damage episode artwork

EPISODE · Nov 20, 2024 · 36 MIN

Using AI to Assess Hurricane Damage

from Weather Geeks

Guest: Dr. Robin Murphy, Professor at Texas A&M UniversityWith many natural disasters it takes time to fully understand the scope of the devastation. We have seen that countless times over the past few years with landfalling major hurricanes. The way that we currently assess storm damage is sufficient, but AI has recently changed the game in the way natural disasters are assessed. Joining us today is Dr. Robin Murphy, Professor of Computer Science and Engineering at Texas A&M University joins us to discuss how AI is playing a role in the assessment of natural disasters.Chapters00:00 Introduction to AI in Disaster Assessment03:18 The Evolution of Robotics and AI in Disaster Response05:44 The Role of Drones in Damage Assessment09:18 Real-Time Data Collection and Analysis16:27 Scaling AI for Large-Scale Disasters19:55 Unexpected Flooding and Rapid Response22:44 Advancements in AI and Operational Use25:48 Applications Beyond Hurricanes: Tornadoes and More28:30 Future of AI in Damage Assessment35:12 Conclusion and Future DirectionsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Episode metadata supplied by the publisher feed · Published Nov 20, 2024

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In this episode of Weather Geeks, Jen Carfagno discusses the transformative role of AI and robotics in assessing damage from natural disasters with Dr. Robin Murphy and her team from Texas A&M University. They explore the evolution of drone technology, the importance of rapid data collection, and the potential for AI to improve emergency response efforts. The conversation highlights the challenges and advancements in using AI for disaster assessment, including the need for real-time data and the future applications of this technology beyond just hurricanes.

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Using AI to Assess Hurricane Damage

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This episode was published on November 20, 2024.

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