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Unlock the secrets to revolutionary weather forecasting with our latest episode featuring Jonah Beysens, the brilliant mind behind the Aurora project. Imagine a world where remote and resource-limited areas can access reliable weather data without the hassle of maintaining traditional mechanical stations. Learn how the Aurora, an acoustic smart weather station, is making this possible. Born from the TinyML Challenge 2022, Aurora employs a TinyML board with a microphone to classify wind and rain intensity, ensuring robustness and ease of deployment. Jonah walks us through the journey of crafting a real-world dataset and shares the collaborative spirit behind making this data open for community-driven innovation.

Discover how the shift towards low-cost, acoustics-based devices is reshaping weather forecasting, offering enhanced spatial resolution with multiple ground stations. Jonah sheds light on the collaborative efforts to refine prediction models with open datasets, emphasizing the profound global impact, especially in developing nations where agriculture depends heavily on accurate forecasts. As we discuss the ongoing work to make weather data more accessible worldwide, we highlight the role of community and open access in driving forward weather-related technologies. Join us in exploring how these innovative solutions promise timely, dependable forecasts, paving the way for a future where environmental data is a shared resource for all.

Learn more about the tinyML Foundation - tinyml.org