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 ...

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...

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 ...

The Aurora Borealis put on an impressive showing Tuesday night, and there’s potential for it to dance in the sky again Wednesday. kP indices peaked near 9 p.m. on Nov. 11, allowing for the Northern ...

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 ...