The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

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

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Learn how financial modeling projects future performance and supports strategic planning with essential components like ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Tabular artificial intelligence startup Prior Labs GmbH today announced a new foundation model that can handle millions of rows of data to give enterprises a way to understand and use their most ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

Abstract: In real-world machine learning applications, addressing the challenges associated with small tabular data is essential. While Decision Tree (DT)-based models are known to be effective for ...

Explore the Kaggle Grandmasters' strategies for mastering tabular data, including GPU acceleration techniques, diverse baselines, and feature engineering. Discover how these methods can enhance ...

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...