LG AI Research· EXAONE

The Latest Research Trends in Time Series Foundation Models

When people talk about time series data in AI, they are referring to tabular data with a time axis, such as stock prices or sensor data. Time series data can be found everywhere around us, from weather data to factory sensor data, financial data, and more. With time series data so intertwined in our lives, solving time series problems holds significant importance for our everyday lives. If we can predict the weather, breakdowns in factory machinery, or changes in finance in advance, we can better respond to uncertainties in the future. Currently, many companies are working hard to solve time series problems through the use of AI. In the following sections, I will outline some of the current research, and shed light on time series foundation models, an area that is gaining particular interest as of late. 1. The Rise of Time Series Foundation Models A foundation model is an AI model that has been pre-trained with large-scale data and has the ability to solve a wide range of problems. It’s important to note that rather than being specific to a particular problem, a foundation model is a generalized model. …

Announced

03 May 2024 00:00 UTC

Detected

28 Aug 2026 22:20 UTC (+847d after)