People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...

The update brings real-time forecasting data from Kalshi and Polymarket to Google Finance, as more major platforms move into the growing prediction markets space. Google is incorporating prediction ...

Meet Mark Grebner, the Michigan statistician who helped pioneer the science of predicting whether someone will vote Republican or Democratic. By Thomas Fuller Reporting from East Lansing, Mich.

A new technology designed to bring empirical precision to sports predictions is on the horizon. According to the Founder of City Rebels Predictions (CRSPredictions), Osifeso Olamiji, the innovation ...

The Los Angeles Rams will take on the Philadelphia Eagles in a key NFC Week 3 matchup at Lincoln Financial Field on Sunday. Kickoff is at 1 p.m. ET. This preview includes Dimers’ player stat ...

A powerful and practical AI/ML-driven Stock Market Prediction project built using Python. Designed for real-world usability, this project predicts next-day stock movement, performs full pipeline ...

Have you ever faced the daunting task of identifying and prioritizing risks in a project, only to feel overwhelmed by the sheer complexity of it all? Whether you’re managing a multi-million-dollar ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We introduce a new computational approach for predicting organic crystalline ...

The rapid evolution of railway systems, driven by digitization and the proliferation of Internet-of-Things (IoT) devices, has resulted in an unprecedented volume of diverse and complex data. This ...

Researchers from CISA and NIST have proposed a new cybersecurity metric designed to calculate the likelihood that a vulnerability has been exploited in the wild. Peter Mell of NIST and Jonathan Spring ...