This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Strong predictive signals don't automatically translate into investable strategies, especially at institutional scale.

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to reshape how marketers place digital ads. AdGazer, a predictive tool, ...

A dispute over a predictive analytics platform shows how technology companies risk losing trade secret protection when ...

Feb 12 (Reuters) - OpenAI has warned U.S. lawmakers that Chinese artificial intelligence startup DeepSeek is targeting the ChatGPT maker and the nation's leading AI companies to replicate models and ...

President Trump's threats over Greenland triggered a sell-off across the market. Applied Digital's debt-heavy business model makes it especially vulnerable to potential economic slowdowns. The ...

Abstract: In the propulsion and electrical systems of More Electric Aircraft (MEA), the Switched Reluctance Motor (SRM) is regarded as one of the key motor topologies due to its simple structure, high ...

Welcome! This is a work in progress. We want to create a practical guide to developing quality predictive models from tabular data. We'll publish materials here as we create them and welcome community ...

The identification of habitable exoplanets is an important challenge in modern space science, requiring the combination of planetary and stellar parameters to assess conditions that support life.