However, these kinds of measurements pose complications in ways that words, code and pixels do not. First, time series data is often continuous: Think of video streaming from a self-driving car ...

Secondly the MIT researchers used the approach they named ‘Detector’ whereby the LLM was used as a forecaster to predict the next value in a time series data set, the researchers then compared ...

Saving rates display considerable variation across countries and over time. This paper investigates empirically the policy and nonpolicy factors behind these saving disparities using a large, ...

Data cloud company Snowflake has signed a definitive agreement to acquire California-based time series forecasting company Myst. The financial details of the transaction were not disclosed.