Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

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

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

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

Fundamental Announces $255M in Funding and Publicly Launches its Most Powerful Large Tabular Model (LTM)

Fundamental, an AI company that has built its most powerful Large Tabular Model ("LTM") to drive predictions from enterprise data, announced today it is emerging from stealth with $255M in funding.

Fundamental raises $255 million Series A with a new take on big data analysis

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

$255m Launch for Tabular Data Cruncher Fundamental

In San Francisco, an enterprise data management and analytics platform called Fundamental has opened its doors with funding of $255 million, and launched its first product, NEXUS. This uses a 'Large ...
EurekAlert!

New AI model TabPFN enables faster and more accurate predictions on small tabular data sets

Filling gaps in data sets or identifying outliers – that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...
KTLA

Prior Labs launches world’s first enterprise-scale AI foundation model capable of handling 10M rows of tabular data

Prior Labs has achieved another industry first, scaling its tabular AI foundation model, TabPFN, to 10 million data points – a 1,000x leap in under a year GERMANY ...
ascopubs.org

Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...