SiliconANGLE

Fundamental launches with $255M and an AI model optimized for tabular data

Artificial intelligence startup Fundamental Technologies Inc. launched today with $255 million in initial funding from a group of prominent investors. The company raised the bulk of the capital ...
Nature

Automating differentially private tabular data synthesis via Bayesian optimization

Generating high-fidelity synthetic tabular data under strict differential privacy (DP) constraints is a critical challenge. The practical deployment of DP-GANs is often derailed by extreme ...
The Next Web

H2O.ai launches tabH2O, a foundation model that makes predictions from tabular data without any training

H2O.ai has launched tabH2O, a foundation model for tabular data announced at Dell Technologies World 2026. The model uses in-context learning to deliver predictions from structured datasets via a ...
Nature

Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data

This study compared the performance of classical feature-based machine learning models (CMLs) and large language models (LLMs) in predicting COVID-19 mortality using high-dimensional tabular data from ...