This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

Goatboy here and 40K's glut of random activation rules need to go. They are bad for the game and no one likes them!

A combination of unemployment, loss of personal dignity, and exploitative political leadership is a recipe for social unrest ...

People has named ROLE MODEL as its first-ever Sexiest Man Alive centerfold on November 5. The announcement came after the magazine named Jonathan Bailey as the Sexiest Man Alive for 2025. The singer ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

With a high chance that we will see two tropical systems in close proximity in the coming days, a lot of questions come up: how will these storms interact? Will one overpower the other? Will they ...

Craftee experiences the randomness of every jump triggering a new effect. Why U.S. politicians are up in arms about new internet rules in Britain The Truth About What Happened To Jean Claude Van Damme ...

In 1961, MIT meteorologist Edward Lorenz was inputting numbers into a weather prediction program. His model was based on a dozen variables, the value of one being .506127. When he ran the model again, ...

We examine the early labor market impacts of AI chatbots by linking large-scale, representative adoption surveys to administrative labor records in Denmark. Using difference-in-differences, we ...

President Donald Trump is an AI booster, write Yale SOM’s Jeffrey Sonnenfeld and co-authors Stephen Henriques and Steven Tian. So they asked the leading chatbots to evaluate some of Trump’s frequently ...