Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

David Pogue is a six-time Emmy winner for his stories on "CBS Sunday Morning," where he's been a correspondent since 2002. Pogue hosts the CBS News podcast "Unsung Science." He's also a New York Times ...

New research reveals that ‘foundation models’ trained on vast, general time‑series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

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 ...

Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...

Travis Brashears, Cameron Ramos, and Serena Grown-Haeberli began collaborating at SpaceX, developing optical communications links that keep thousands of Starlink internet satellites in constant ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...

Forecasting dynamic weather patterns like the January winter storm is not a simple task. Meteorologists pore over hundreds of computer-generated models predicting atmospheric conditions such as ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Anthony Pompliano is chairman and chief executive of the financial services firm ProCap Financial and chief executive of the investment firm Professional Capital Management. Last week, the Federal ...

ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...