Reimaging professional and educational practices for an AI-augmented future.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...

Economists often rely on estimates of linear fixed effects models developed by other teams of researchers. Assessing the uncertainty in these estimates can be challenging. I propose a form of sample ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

Abstract: The fixed effects model is a widely used statistical method in panel data analysis as it eliminates the heterogeneity that cannot be observed at the individual or temporal level. The model ...

Abstract: Traditional bidirectional fixed-effect models rely on simple linear regression coefficients, which may limit the predictive testing capabilities of the models. To solve this limitation, we ...

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...