Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...
Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology ...
According to God of Prompt (@godofprompt), top engineers at AI companies such as OpenAI, Anthropic, and Microsoft are moving beyond basic Retrieval-Augmented Generation (RAG) by prioritizing ...
The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...
An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a human. By Shafik Quoraishee Shafik Quoraishee is a machine-learning engineer ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra Semantic intelligence is a critical element of actually understanding what data means and how it can be used. Microsoft is now deeply ...
Field and Space Experimental Robotics (FASER) Laboratory, Mechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States This article proposes a ...
Strategy (formerly MicroStrategy) is debuting Strategy Mosaic, an AI-powered Universal Intelligence Layer designed to enable AI applications by connecting disparate data sources across the enterprise, ...
Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic Graph Engines represent the next major paradigm after databases, ...
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