Hub AI research
Artificial Intelligence is already part of everyday life. Since the ImageNet moment in 2012, when Deep Learning proved its great utility in combination with a lot of computing power and gigantic amounts of data, only about ten years have passed – yet there has been more progress than in half a century before.
Still, many questions remain: Will Deep Learning remain the gold standard of AI development? What are the performance limits of large AI systems? Do we need symbolic systems? What technology will lead to artificial general intelligence? Finally, what actually is intelligence, anyway?
We explore these topics and more in our Artificial Intelligence Research Content Hub.
Google Deepmind and Google Research have launched Weather Lab, a public platform that tests AI models for forecasting tropical cyclones. The new system uses a type of machine learning called stochastic neural networks to predict storm formation, path, strength, size and shape up to 15 days ahead. Deepmind says its model produced more accurate results in tests than traditional physics-based systems such as ECMWF's ENS and NOAA's HAFS. Forecasts are being reviewed by experts at the U.S. National Hurricane Center and Colorado State's CIRA. Weather Lab is intended as a research tool and does not replace official warnings. Users can also explore forecasts for past storms.
