Forecasting coasts may improve by combining AI, physics, and real-world data

Coastal landscapes are constantly being reshaped by natural forces, and as climate change causes more frequent storms and sea ...
Forbes

‘The Wheel Of Time’ Returns After Cancellation, But It’s Already Mired In Controversy

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Now Jordan’s books are getting a new lease on life. Several new leases, actually. The series ...
IGN

The Wheel of Time keeps on turning.

The Prime Video Wheel of Time live-action show may have ended with Season 3, but that was far from the end for fan hopes for a TV adaptation of Robert Jordan's epic fantasy novels. The series is ...
Variety

New ‘Wheel of Time’ Animated Series, Feature Films and Video Game in the Works From ‘Arcane,’ ‘League of Legends’ Producer Thomas Vu (EXCLUSIVE)

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.
USA Today

Time Machine Enables Realistic Power Grid Operator Training for Major Regional Grid Operator

Santa Clara, Ca. (PinionNewswire) — SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling a groundbreaking ...
TechCrunch

Google is using old news reports and AI to predict flash floods

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...
GitHub

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

This code is the official PyTorch implementation of our KDD'25 paper: DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. If you find this project helpful, please don't forget to give ...
IEEE

Trend-Error Decomposition for Self-Supervised Time Series Learning in Multivariate Forecasting Task

Abstract: Self-Supervised Learning (SSL) has become a powerful paradigm in Artificial Intelligence, enabling the training of machine learning models using unlabeled data. However, in time series ...
Kotaku

Xbox Series X Hits All-Time Low With Controller Included to Clear Out Stock, While PlayStation Stays at Full Price

This article is part of Kotaku Deals, produced separately from the editorial team. We may earn a commission when you buy through links on the site. If the holidays came and went without the new gaming ...
Scientific Research Publishing

Xu, X. and Liu, W. (2024) Forecasting the Equity Premium: Can Machine Learning Beat the Historical Average? Quantitative Finance, 24, 1445-1461.

ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...
GitHub

A comprehensive Python package for hierarchical time series forecasting with support for multiple forecasting methods, reconciliation techniques, and evaluation metrics.

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

Advancing Economic Forecasting With Hybrid Time Series and Functional Models: Evidence From Electricity Demand Data

Abstract: Accurate short-term electricity demand forecasting (STDF) is critical not only for power system operational dependability but also for guiding strategic energy economic decision-making and ...