Researchers at MIT have developed a method that improves the accuracy of predictions generated by climate models. The technique involves the use of machine learning and dynamical systems theory to make predictions from coarse climate models more accurate. These models, which are used to predict the impact of climate change including extreme weather events, work…
Scientists from MIT and the Pacific Northwest National Laboratory have developed a way to increase the accuracy of large-scale climate models, allowing for more precise predictions of extreme weather incidents in specific locations. Their process involves using machine learning in tandem with existing climate models to make the models' predictions closer to real-world observations. This…
Google's showcase at its recent I/O conference saw a fresh emphasis on its Search Generative Experience (SGE), an initiative to embed generative artificial intelligence (AI) into Google Search. The goal of SGE is to provide AI-generated answers to over a billion users by 2024, utilizing Google’s large language models Gemini to produce human-like responses to…
Google recently announced their new Search Generative Experience (SGE) at their I/O conference, planning to integrate generative AI into Google Search and deliver AI-generated answers to over a billion users by 2024. While this could enhance the user experience by providing richer context to query results, concerns have been raised over the increased computational power…
Assessing a community’s risk of extreme weather events – such as catastrophic storms and catastrophic flooding – is a key task for policymakers who are trying to prepare for the potential impacts of global climate change. Despite major advancements in technology and modeling techniques, however, these forecasts leave a lot to be desired. Now, a…