Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...

Contractors are shifting toward connected construction workflows—digital processes that link design, fabrication, layout, ...

Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...

Get ahead of 2026 with a global construction outlook covering growth forecasts, regional trends, and sector opportunities to ...

WAAREE RENEWABLE TECHNOLOGIES LTD - Announcement under Regulation 30 (LODR)-Award_of_Order_Receipt_of_Order - Rediff MoneyWiz, the personal finance service from Rediff.com equips the user with tools ...

📦 [2025/10] CTINexus Python package released! Install with pip install ctinexus for seamless integration into your Python projects. 🌟 [2025/07] CTINexus now features an intuitive Gradio interface!

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

New BuiltWorlds research finds nearly all contractors see smarter, faster decision-making as AI’s primary value.

For many construction companies, the workforce now blends traditional skills with data analytics literacy, AI proficiency and ...

Construction job openings sank to an "extraordinarily low” level in October, signaling a lingering cool-off in labor demand, according to an Associated Builders and Contractors analysis of Bureau of ...