Abstract: Hardware impairments (HWI) are imperfections in hardware components that diminish wireless communication performance. Unlike Geometric-based Stochastic Models (GBSMs), existing works on the ...

Frustrated by YouTube feeding him Shorts and advertisements, PewDiePie set out to ‘fix’ the platform’s algorithm with his own AI. YouTube icon Felix ‘PewDiePie’ Kjellberg famously trained his own AI ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...

Cardiovascular disease results in around 20 million deaths worldwide and causes around a quarter of all deaths in the UK. Statins are highly effective drugs that lower LDL (“bad”) cholesterol levels ...

Abstract: This study introduces a novel approach to spacecraft attitude control by employing Support Vector Regression (SVR) as the underlying data-driven controller. Given the inherent nonlinearity ...

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...

Two-way fixed effects (TWFE) estimation is the dominant approach for causal inference with panel data. However, recent research shows that standard TWFE can produce biased estimates when treatment ...

There are lots of perks to sticking to a single ecosystem. You get cross-platform sharing and connected features that are so convenient you don’t even want to break out of that bubble. A big reason ...

The old Ryzen 9 7940HS averaged 58 degrees Celsius and reached a piping hot 93C; the new AMD Ryzen 7 AI 350 CPU averaged an internal temperature of 50C and peaked at 64C. Unfortunately, it seems the ...

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 ...

The Dunning-Kruger effect describes a disturbing cognitive bias that afflicts us all. People with limited expertise in an area tend to overestimate how much they know—and we all have gaps in our ...

Stroke and depressive symptoms are significant public health concerns worldwide; however, their causal relationship remains unclear. Therefore, there is a need for comprehensive multicountry studies ...