Abstract: Recent works have shown that Large Language Models (LLMs) can be applied to ground natural language to a wide variety of robot skills. However, in practice, learning multi-task, ...

The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

The Eclipse Foundation has introduced ADL (Agent Definition Language) functionality to its LMOS (Language Models Operating System) AI project. The announcement came on October 28. The goal of Eclipse ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

The Court of Justice of the European Union issued a decision 4 Sept. that provided clarity to the EU General Data Protection Regulation's definition of personal data when it is pseudonymized and where ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

This is a pre-release version of TAIDLv2. The latest stable release is TAIDLv1.1.1, which can be found here. TAIDL is published in MICRO 2025. For detailed evaluations and comparisons, please refer to ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...

Data extraction in evidence synthesis is labour-intensive, costly, and prone to errors. The use of large language models (LLMs) presents a promising approach for AI-assisted data extraction, ...