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.
IEEE

FDALLM+: A Functional Data Analysis-Driven Large-Language Model Framework for Network Traffic Prediction

Abstract: In communication network management, prediction of mobile network traffic is essential to ensure efficient system operation. Although significant progress has been made in the application of ...

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

Building a Complete Tax Compliance Architecture for Global Scale

Indirect tax compliance is converging around CTC e-invoicing, VAT reporting, and SAF-T. Learn why unified platforms like ...
EDN

Bridging the gap: Being an AI developer in a firmware world

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...
eWeek

World Models Just Got Their GPT-2 Moment — Here’s What That Means For You

New Odyssey and World Labs APIs turn text, images, and video into interactive simulations and explorable 3D worlds for gaming, robotics, design, and training.
GitHub

GluonTS - Probabilistic Time Series Modeling in Python

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...
PC Magazine

Even Starlink Wants Your Data for AI Model Training. How to Opt Out

SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop AI-enabled tools that improve your customer experience.' From the laptops on ...