Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

If you manage user acquisition, chances are that your day probably starts with a familiar routine: dozens of campaigns and hundreds of placements to take care of. Every new offer means rebuilding ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

YouTube video creation has evolved quite a bit since the platform launched over 20 years ago. Over the years, YouTube has become one of the most important social platforms on the planet, with millions ...

Abstract: Automatic performance tuning (auto-tuning) is widely used to optimize performance-critical applications across many scientific domains by finding the best program variant among many choices.