Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Another has to do with a change in the way the bureau estimates how many jobs were generated or destroyed by businesses that close and open each month. That’s expected to knock a few tens of thousands ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...

Fundamental, which just closed a $225 million funding round, develops "large tabular models" (LTMs) for structured data like tables and spreadsheets.

Abstract: In recent years, numerous model extraction attacks have been proposed to investigate the potential vulnerabilities of tabular models. However, applying these attacks in real-world scenarios ...

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 ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...