Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

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

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

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

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

As LLMs get integrated deeper into real workflows, one bad prompt could misroute a customer, corrupt a ticket, escalate the ...

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

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

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

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

When Christian Zeron’s 18-month-old was in a “merciless sleep regression” for a month and a half, he turned to ChatGPT too.

Why? The researchers theorize that having a “genius” as a role model implies natural or innate talent is a requirement for success. Using a prodigy as inspiration — seeing a prodigy as a role model — ...