main webpage W Topic Artificial Intelligence Improving and understanding probabilistic precipitation forecasts using machine learning 2023 Uncertainty in numerical weather prediction (NWP) arises due to the initial state not being fully known and physical processes not being perfectly represented within the models. Precipitation is challenging to predict because it is non-linear with complex dri… Article Open Artificial Intelligence Open Article Page

Artificial Intelligence

Intelligence of machines Artificial intelligence ( AI ) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g. Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page

Exploring foci of: Improving and understanding probabilistic precipitation forecasts using machine learning 2023 Uncertainty in numerical weather prediction (NWP) arises due to the initial state not being fully known and physical processes not being perfectly represented within the models. Precipitation is challenging to predict because it is non-linear with complex drivers from the atmosphere and so varies quickly even on a local scale. This means even advanced NWP models struggle to predict precipitation with the correct intensity at the right time or location. This study aims to explore whether machine learning (ML) can r… Open Article Page

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Explore Artificial Intelligence W Topic Artificial Intelligence Improving and understanding probabilistic precipitation forecasts using machine learning 2023 Uncertainty in numerical weather prediction (NWP) arises due to the initial state not being fully known and physical processes not being perfectly represented within the models. Precipitation is challenging to predict because it is non-linear with complex dri… Article Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page