A new open-source package called Varmapack simulates VARMA time series exactly from the first observation, eliminating ...

Trained with reinforcement learning in real environments, Mellum2.1 is built for coding agents and fast sub-agents that run ...

Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the ...

This tutorial presents an end-to-end example of a Data Science workflow in Microsoft Fabric. The scenario builds a forecasting model that uses historical sales data to predict product category sales ...

A commercial building's energy bill jumped 40% last quarter, and the facilities team wants to know: is next month going to be worse? They have three years of monthly kWh readings sitting in a ...

Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...

Kairos is a flexible and parameter-efficient Time Series Foundation Model (TSFM) designed to handle the dynamic and heterogeneous nature of real-world time series data. Unlike existing models that ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding? Alan Turing famously thought that the question of ...

This broad data foundation enables Moirai 2.0 to generalize across countless forecasting tasks and domains. With dramatically reduced model size and improved speed, high-quality forecasting can now be ...

This repository contains the code for the paper, "Long-Range Transformers for Dynamic Spatiotemporal Forecasting", Grigsby et al., 2021. (arXiv). Spacetimeformer is a Transformer that learns temporal ...

Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, ...