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 ...
Amazon Press Center

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

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 ...
Hosted on MSN

Blender basic modeling tutorial - simple puppy #oe300

New search for missing Malaysia Airlines plane MH370 after 11 years Scientists discovered the tunnels of a possibly unknown ancient lifeform This simple firewood trick made a huge difference in our ...
Microsoft

GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI

The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for ...
GitHub

Reports built with R and Quarto on top of a clean T-SQL query layer assisted by AI

There was an error while loading. Please reload this page. A public-safe case study. Reports built on top of a clean T-SQL query layer. This documents the process and ...
Microsoft

One consistent SQL: The launchpad from legacy to innovation

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...
IEEE

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
IEEE

Neural Network-Based Dynamic Modeling of Synchronous Generator Using Data Augmentation

Abstract: Synchronous generators (SGs) are the cornerstone of modern power systems. However, achieving accurate dynamic modeling of SGs, particularly when considering their complex nonlinear ...
C&EN

End-to-End Modeling of Reaction Field Energy Using Data-Driven Geometric Graph Neural Networks

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...