Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

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

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

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

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

REITs are frequently the best-paying market sector, and that's evident in the Real Estate SPDR, whose 3%-plus dividend yield ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

This year's lethal spread of measles in rural West Texas and other pockets of the U.S. was a strong warning about how protection against deadly childhood diseases is eroding around the nation. This ...

Abstract: Addressing the persistent challenge of learning from imbalanced datasets is crucial in advancing machine learning applications. Standard machine learning algorithms typically assume that the ...

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 ...