IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

Forbes contributors publish independent expert analyses and insights. News and opinion about video games, television, movies and the internet. This voice experience is generated by AI. Learn more.

While deep learning models show promise for improving influenza forecasting, their technical complexity remains a barrier to practical implementation. Large language models (LLMs), such as ChatGPT, ...

This code is the official PyTorch implementation of our AAAI'26 paper: APN: Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline. If you find this project helpful, please ...

A slew of new projects based on Robert Jordan’s “The Wheel of Time” fantasy novels are in the works from IP owner iwot Studios and “Arcane” producer and Riot Games’ “League of Legends” vet Thomas Vu.

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...