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.

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 ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
CNET

I Asked AI to Predict the Weather. It's About as Reliable as a Groundhog

Just as different AI models can say different things based on the same prompt and information, different groundhogs can ...
IEEE

Research on GNSS elevation time series prediction based on STL-XGBoost model

Abstract: In order to enhance the accuracy of GNSS elevation time series prediction and address the limitations of conventional GNSS elevation time series prediction methods, which include imperfect ...
9to5Mac

iOS 26.2 added new AirDrop upgrade, here’s how it works

AirDrop has long been a highly popular iPhone feature, offering an easy way to share photos, files, and more with friends and family. But in iOS 26.2, there’s a new AirDrop enhancement available: ...
IEEE

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling

Abstract: This paper introduces SparseTSF, a novel and extremely lightweight method for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal ...