The examples above are not necessarily done with realistic datasets or training procedures. The purpose is fast execution of the solution proposal and giving the user ideas for interesting usecases.

ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...

Abstract: Function offloading problems play a crucial role in optimizing the performance of applications in serverless edge computing (SEC). Existing research has extensively explored function ...

Leo Feler, chief economist at Numerator, discusses how the Bureau of Labor Statistics collects and reports data, and what the firing of Commissioner Erika McEntarfer means for the agency's future. One ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...

We provide the 9 models evaluated in the MetaAligner paper as follows. Note that though all models are fine-tuned on certain objectives, you can always extend their capability to unseen objectives by ...

Introduction: Low socioeconomic status (SES) is identified as a pivotal risk factor for mental health. Objective socioeconomic status (OSS) is measured by tangible resources, whereas subjective social ...

Building a Winning Data Team: 6 Functions Needed for a Modern Enterprise Data Organization Your email has been sent By organizing their team into six general functions, data leaders can build an ...