AI model forecasts severe thunderstorms 4 hours ahead with higher accuracy

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

Mountain snow forecasting tool aims to refine water availability predictions

A new tool developed by Washington State University researchers could someday provide daily or weekly forecasts of water ...

Nvidia unveils AI models for faster, cheaper weather forecasts

Nvidia on Monday released three open-source artificial intelligence models aimed at helping create better weather forecasts, ...
Seeking Alpha

Using Quantitative Signal Data For Portfolio Management

The vast majority of asset management companies today use model portfolios. One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...
Time

AI Is Learning to Predict the Future—And Beating Humans at It

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...
The New York Times

Big Tech’s A.I. Data Centers Are Driving Up Electricity Bills for Everyone

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
IEEE

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet

Abstract: In this paper, we present a novel method for advancing time series forecasting by representing discretized time series data through de Bruijn Graphs (dBGs). This method harnesses the ...