An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

A Berkeley-trained quantitative researcher who developed quantitative approaches to align internal credit assessments with ...

TradeSmith, a brand under MarketWise, has introduced Predictive Alpha, an artificial intelligence system developed to ...

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 ...

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 ...

ABSTRACT: Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In ...

Every three months, participants in the Metaculus forecasting cup try to predict the future for a prize pot of about $5,000. Metaculus, a forecasting platform, poses questions of geopolitical ...

Tropical cyclone (TC) intensity prediction is a critical task in disaster prevention and mitigation. Due to the high complexity and incomplete evolution mechanism, the accurate prediction of TC ...

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 ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...