To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Aurionpro launches AurionAI, an IP-driven Enterprise AI platform aimed at revolutionizing banking and overcoming AI adoption ...

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 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. byLanguage Models (dot tech)@languagemodels byLanguage Models (dot ...

1 Prairie View A&M University, Electrical and Computer Engineering, Texas A&M University System, Prairie View, TX, United States 2 Texas Juvenile Crime Prevention Center, Prairie View A&M University, ...

Abstract: The generation of synthetic tabular data plays a critical role in applications such as data enhancement, privacy preservation, and model validation. However, the heterogeneity of tabular ...

To enable easier extraction of statistics, compatibility and usability by users, plot generation, fuction instrumentation, perun should shed its deep tree structure (app > multi_run > run > host > ...