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By explicitly modeling pollutant propagation delays with neural delay differential equations, AirDDE significantly improves air quality forecasting accuracy.
Slash spoken dialogue system latency by up to 51% with a new architecture that lets the system "listen-while-thinking" and "speak-while-thinking."
