Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 times with ...

The future of data is one of flexible, natural ways of representing information—data that is organized less like tables and more like interconnected, complex webs.

A team led by Frank Hutter, Professor of Machine Learning at the University of Freiburg, has developed a new method that facilitates and improves predictions of tabular data, especially for small ...

Analytics and AI giant Databricks reportedly paid nearly $2 billion when it acquired Tabular in June, a startup that was only doing $1 million in annual recurring revenue, according to Bloomberg.

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

Los Angeles-based UCLA Health has developed an AI model that transforms electronic medical records into text to improve emergency care decisions. The Multimodal Embedding Model for EHR platform ...

09.01.2025 13:00 New AI model TabPFN enables faster and more accurate predictions on small tabular data sets Rimma Gerenstein Hochschul- und Wissenschaftskommunikation Albert-Ludwigs-Universität ...