A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms

J1.6A A Deep Recurrent Neural Network to Forecast the Intensity and Trajectory of Atlantic Tropical Storms More Wednesday, 9 January 2019: 9:45 AM North 124B (Phoenix Convention Center – West and North Buildings) Hammad Usmani, Georgia Institute of Technology, Atlanta, GA Recorded Presentation The National Hurricane Center (NHC) and National Oceanic and Atmospheric Administration (NOAA)…

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Voice of the Storm: MMS TTS for Global Weather Alerts

In the vanguard of meteorological innovation, ‘hurricane-tts‘ emerges as a monumental integration of advanced technologies, setting new standards in delivering critical storm alerts. At its core, the project harnesses the massively multilingual Text-to-Speech capabilities from Facebook AI Research (FAIR), transforming weather data into spoken word with unparalleled linguistic diversity. Coupled with the analytical prowess of…

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Women’s Contributions To Meteorological and Atmospheric Sciences Throughout Time

There is an effort to improve women’s ability to access technological advancements, knowledge, scientific literacy, and technology-related training, as well as to uplift the stature of female researchers and technologists at the international, national, and local levels. Ensuring all women have equitable access to scientific and technical knowledge is essential. The priority should be to…

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Hurricane AI Server: A Sustainable AI Lab for Weather Forecasting

Edge AI requires that the artificial intelligence calculates their responses either on your device or near the edge. Our recent developments have successfully engineered technology that achieves this goal while also alleviating environmental and safety concerns. After half a year of benchmarking, performance tuning, and monitoring, there is enough data to draw conclusions and publish…

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