We further applied exponential random graph models (ERGMs) to assess how channel type, frame, and their interaction influence the formation of ties. Results: The Pro-Ana Advocacy frames were primarily ...

For decades, the United States held unrivalled global leadership in science and technology, based on its world-class research universities, high levels of public and private investment, and a policy ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

The R35 Nissan GT-R officially ended production this week, bringing an 18-year run to rest with no immediate successor ready to launch. While the automaker’s Chief Planning Officer for North America ...

The Volkswagen Golf R stands above all other Golf variants in terms of performance and prestige. First introduced as the Golf R32 with a 3.2-liter narrow-angle VR6 engine and standard all-wheel drive, ...

Nvidia Corp. announced today that it’s expanding its offerings of smarter AI models, physical intelligence for robotics and powerful enterprise AI servers. Leading the news at the ACM SIGGRAPH 2025 ...

Understanding the dynamics of internal migration is essential for promoting regional resilience and sustainable development. This study applies a weighted Exponential Random Graph Model (ERGM) to ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

Introduction: Biotechnology has significant potential in public health, offering critical support for communicable disease control, chronic illness management, and drug development. To foster ...

Most stock quote data provided by BATS. US market indices are shown in real time, except for the S&P 500 which is refreshed every two minutes. All times are ET ...

A fundamental challenge in advancing AI research lies in developing systems that can autonomously perform structured reasoning and dynamically expand domain knowledge. Traditional AI models often rely ...