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 ...

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 ...
Opinion
EdSourceOpinion

Teaching mathematics with coding and robotics can transform California math instruction

A hands-on, integrated approach has the potential to transform math from a gatekeeper into a gateway for STEM opportunities for all students.
GitHub

Material-Datatable - Datatable for Material-UI

Material-Datatable is a data tables component built on Material-UI V1. It comes with features like filtering, resizable + view/hide columns, search, export to CSV download, printing, selectable rows, ...
GitHub

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

2025-01-22: LOKI is accepted to ICLR 2025. 2024-11: The source code and Datasets are released. Our evaluation framework supports over 20+ mainstream foundation models. Please see here for full model ...
IEEE

Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning

Abstract: Carbon dioxide (CO2) is the most important atmospheric contributor for global warming. Satellite remote sensing is a commonly used method for high-precision CO2 detection, but it often ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...