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

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Artificial Intelligence (AI) is transforming industries by automating tasks and generating insights, but its true effectiveness depends on high-quality, relevant data. Structured data is the most ...

Large Language Models (LLMs) are trained on vast amounts of text data, and the quality and variety of data play a key role in the ability of LLMs to generate human-like text. While enterprises realize ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...

Most construction sites still operate with a patchwork of tools—updates shared via messaging apps, paper checklists and cloud folders that are often days out of date. With information fragmented and ...

Many search engines rely on structured data to enhance user experiences – and this trend will likely intensify in 2025. For this reason, structured data is no longer a “nice-to-have” but an essential ...