As we grapple with the implications of the digital revolution and a rapidly changing natural environment, AI may hold the key to unraveling some of the complexity that has exceeded our comprehension. But with the means of research firmly in industry hands, policymakers will need to ensure that new tools provide public goods.
LONDON – We have just witnessed the start of a paradigm shift in earth science. A paper published in Nature in July showed that a neural network (artificial intelligence) predicted weather better than the European Center for Medium-Range Weather Forecasts, which has the world’s most advanced forecasting system. Then, in November, Google’s DeepMind announced that its weather-forecasting AI had produced even stronger predictions.
LONDON – We have just witnessed the start of a paradigm shift in earth science. A paper published in Nature in July showed that a neural network (artificial intelligence) predicted weather better than the European Center for Medium-Range Weather Forecasts, which has the world’s most advanced forecasting system. Then, in November, Google’s DeepMind announced that its weather-forecasting AI had produced even stronger predictions.