Time-series data-usually presented in the form of lines-plays an important role in many domains such as finance, meteorology, health, and urban informatics. Yet, little has been done to support ...

Industrial time series, as a kind of data that responds to production process information, can be analyzed and predicted for effective monitoring of industrial production processes. There are problems ...

aws data-science machine-learning timeseries deep-learning time-series mxnet torch pytorch artificial-intelligence neural-networks forecasting time-series-prediction time-series-forecasting sagemaker ...

Meta's $14 billion investment in Scale AI set off a flurry of dealmaking in the AI data industry, as Meta's rivals cut ties with Scale for other data companies ...

Pyrad is a real-time data processing framework developed by MeteoSwiss and MeteoFrance. The framework is aimed at processing and visualizing polar data from individual weather radars as well as ...