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 ...
eWeek

Yahoo Scout Reboots Search With Retro AI Flair

Yahoo this week unveiled Scout, an AI-powered "answer engine" now in beta across desktop (at scout.yahoo.com), mobile ...
InfoQ

Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...
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 ...
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 ...
Journal of Medical Internet Research

Challenges and Recommendations for Electronic Health Records Data Extraction and Preparation for Dynamic Prediction Modeling in Hospitalized Patients: Practical Guide and Tutorial

Dynamic predictive modeling using electronic health record data has gained significant attention in recent years. The reliability and trustworthiness of such models depend heavily on the quality of ...
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 ...