The European Commission has renewed its data adequacy agreement with the UK, guaranteeing free flow of data with the European Union (EU) for a further six years. The agreement assures that the UK’s ...

Tabular artificial intelligence startup Prior Labs GmbH today announced a new foundation model that can handle millions of rows of data to give enterprises a way to understand and use their most ...

Abstract: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...

The stock-to-flow model may not be the best framework to forecast Bitcoin prices, Bitwise investment analyst André Dragosch said. Bitcoin’s (BTC) Stock-to-Flow (S2F) model, one of the most widely ...

AI progress spans GPT-3 to GPT-5, Claude-4, Gemini-2.5, yet breakthroughs lag. Industrial AI struggles due to isolated data and models locked behind platform APIs. Manual processes slow AI usage: ...

Explore the Kaggle Grandmasters' strategies for mastering tabular data, including GPU acceleration techniques, diverse baselines, and feature engineering. Discover how these methods can enhance ...

TabPFGen is a Python library for generating high-quality synthetic tabular data using energy-based modeling and stochastic gradient Langevin dynamics (SGLD). It supports both classification and ...