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 ...

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...

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 ...

BeyondTrucks has unveiled a new Optimization Solution integrated into its transportation management system (TMS) at the ATA’s MC&E. This AI-powered tool is designed to enhance dispatch planning by ...

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.