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Microsoft Research Podcast
Abstracts: May 20, 2024
May 20, 2024
Andrey Kolobov, Principal Research Manager at Microsoft, discusses real-time wind prediction for drones using AI, enhancing flight efficiency and enabling quick deliveries. The research focuses on training models with limited data sources and synthetically generated data to accurately predict wind fields, ensuring drone safety in complex terrains and urban settings.
12:43
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Quick takeaways
- Improving drone efficiency by predicting wind fields in real time with limited data, increasing flight time.
- Utilizing synthetic data to train AI models for accurate wind prediction at low altitudes, benefiting various real-world applications.
Deep dives
Enhancing Drone Flight Efficiency
The research by Dr. Kolobov aims to improve drone efficiency by enabling them to stay airborne for longer periods and cover more significant distances. This goal addresses the challenge of drones' limited flight time due to high energy consumption, hindering their effectiveness in applications like quick delivery services. By implementing AI to allow drones to work with natural forces, such as wind, instead of against them, the research shows potential for increasing drones' flight time by conserving energy.
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