There are also trade-offs in creativity. Because the energy critic favors low-energy (i.e., high-probability) text, the model ...

A 24-month study of over 516,000 Canadians found that a commercial fitness app offering micro-incentives led to very small ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Artificial intelligence is now built directly into many SaaS platforms, and that shift has created a new testing challenge.

Using daily data from 2021–2023, I applied multiple regression models to understand how fluctuations in commodities influenced the UK’s electricity system price.

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...

Demidov, according to Scott Wheeler, is the “most purely skilled forward prospect in the sport.” That earned him the top ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...