Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

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 ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

This is the artifact for our paper "TAIDL: Tensor Accelerator ISA Definition Language with Auto-generation of Scalable Test Oracles". In our paper, we present an ISA specification language for tensor ...

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 ...

The doctoral research presented in this thesis focuses on computational analyses of language and society. It covers several empirical studies of language, used to inform human-centered language model ...

Big Law Firms Quietly Update Diversity Language, as Deadline Passes to Disclose Data At least seven law firms that received EEOC letters have made changes to their webpages on DEI commitments, ...

Abstract: This tutorial presents an overview of the progression of spoken language identification (LID) systems and current developments. The introduction provides a background on automatic language ...