The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

2025 was another big year for fans of Stephen King, with the release of the critically acclaimed dystopian thriller The Long Walk and Edgar Wright's take on The Running Man just two of the many ...

Science fiction fans can save big on a box set edition of one of the most popular series of the past decade. The first three books in Adrian Tchaikovsky's Children of Time series have been reissued in ...

Methods: This retrospective longitudinal time-series study used a big data-driven interpretable machine learning approach to analyze global multifaceted data across 38 countries from pandemic onset ...

If there was ever a channel or platform to steer the course of prestige television in the era's nascent period, it's HBO. The premium cable channel had been producing original programming for years, ...

As many market participants anticipate a year-end rally, there are mounting indications that such an outcome is far from assured. Investor positioning appears increasingly stretched, with multiple ...

ABSTRACT: Vehicle body painting is the most important issue in the final stage of the automobile maintenance process, and it is related to the appearance, rust-proofing, and value of the vehicle. Yet, ...

Forbes contributors publish independent expert analyses and insights. I write about men in tights & the billions they make for men in suits. WWE Survivor Series 2025 emanates from Petco Park in San ...

USA TODAY Sports has live coverage of Dodgers vs. Blue Jays in World Series Game 7. The Los Angeles Dodgers clinched a nail-biting 3-1 victory against the Toronto Blue Jays at the bottom of the ninth ...

The 2025 World Series begins on Friday, Oct. 24 in Toronto, pitting the Blue Jays against the defending champion Los Angeles Dodgers. Blake Snell gets the start for the Dodgers, while rookie Trey ...

Abstract: Traditional machine learning approaches for biomedical time series analysis face fundamental limitations when integrating the heterogeneous data types essential for comprehensive clinical ...