Fundamental emerges from stealth with first major foundation model trained for tabular data

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

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
Reuters

Thyssenkrupp warns of deep net loss in 2026 on steel restructuring costs

Up to 800 mln euro loss seen by 2026 amid restructuring costs Proposes unchanged dividend of 15 euro cents per share Shares fall 13% in morning trading Shares fell as much as 13%, with market ...
WLNS.com

Lansing may sell under-utilized parking lots for data center project

LANSING, Mich. (WLNS) — The owners of a data center company from the United Kingdom met with residents Saturday morning to discuss their proposal to create a 24 megawatt data center in downtown ...
SiliconANGLE

Prior Labs debuts tabular AI foundation model that scales to 10 million rows

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 ...
IEEE

MRLF: Multimodal Representation Learning for Tabular Data Classification

Abstract: Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on ...
Reuters

As data flow revives, Fed still faces a deep policy divide

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...
Scientific Research Publishing

Grinsztajn, L., Oyallon, E. and Varoquaux, G. (2022) Why Do Tree-Based Models Still Outperform Deep Learning on Typical Tabular Data? Advances in Neural Information Processing ...

ABSTRACT: Health economic evaluations within surgical disciplines face considerable methodological hurdles, particularly in relation to cost-effectiveness analyses (CEA) and budget-impact modelling ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...