Extending the impact of AI-powered forecasting across industries. The model also enables businesses to make various other time-series forecasts, such as weather patterns, calendar ...
The results touch on a key limitation of many AI models: They are good at recognizing data they are familiar with, but often fail to recognize new scenarios they have not yet encountered in their ...
Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...
Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...
Abstract: Generalist models, capable of handling multiple modalities and tasks simultaneously, are currently one of the hottest research topics. However, due to interference between different tasks ...