Abstract: To effectively assess a scholar's capabilities, it is essential to begin by gathering their basic information, forming the foundational step for subsequent analysis. This entails sourcing ...
On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what may be the largest-scale experiment in machine-to-machine social interaction ...
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
New open-source AI skill converts HTML design templates quickly into a fully-managed website within minutes. Instead of ...
Wang X^, Zhao J^, Marostica E, Yuan W, Jin J, Zhang J, Li R, Tang H, Wang K, Li Y, Wang F, Peng Y, Zhu J, Zhang J, Jackson CR, Zhang J, Dillon D, Lin NU, Sholl L ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Influence of Elephant-Driven Vegetation Structure and Altitudinal Gradient on the Occurrence of the Endemic Mount Cameroon Francolin ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
The latest release of the Java edition of Minecraft, Snapshot 26.1.4, provides players with a complete overhaul of their baby horse, donkey & mule models, along with new baby mount sounds and improved ...
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
Abstract: In opinion dynamics (OODs), the DeGroot and Hegselmann–Krause (HK) bounded confidence models are foundational tools for studying information evolution. However, both models have unavoidable ...
The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results