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 simple sequence of words, but as a complex web of non-linear relationships.
Hosted on MSN

How to make a working cardboard motorcycle | DIY motor-powered model tutorial

Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...
GitHub

InsAct-Vu/aws-data-platform

A production-grade batch analytics platform built on AWS, centralizing operational, financial, sales, and marketing data for business intelligence and reporting. This platform provides a complete data ...
Cancer Research

Germline Pathogenic Variant Prediction Model for Tumor-Only Sequencing Based on Japanese Clinicogenomic Database

2Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan. 3Center for Cancer Genomics and Advanced Therapeutics (C-CAT), National Cancer Center, Tokyo, Japan.
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 ...
Frontiers

Strain energy-based gear mesh stiffness modeling and synthetic data generation for AI-driven fault diagnosis in smart manufacturing

Applications of Artificial Intelligence and IoT Technologies in Smart Manufacturing Vol. 2 ...
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 ...
IEEE

Connected Vehicle Data-Driven Robust Optimization for Traffic Signal Timing: Modeling Traffic Flow Variability and Errors

Abstract: Recent advancements in Connected Vehicle (CV) technology have prompted research on leveraging CV data for more effective traffic management. However, existing studies on CV-based signal ...
C&EN

Evaluating Machine Learning Models for Molecular Property Prediction: Performance and Robustness on Out-of-Distribution Data

Department of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria Christian Doppler Laboratory ...