As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Most enterprise AI products use retrieval augmented generation (RAG). You feed documents to an LLM, vectorize them, then ask ...

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Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...

Tech companies and lobbyists are investing millions of dollars to tackle a new political problem for the industry: Data centers, the lifeblood of the growing artificial intelligence economy, are ...

Amid sky-high inflation, water and energy cuts and prospects for a deal with the U. S. dimming, President Masoud Pezeshkian has apparently thrown up his hands. By Farnaz Fassihi and Leily Nikounazar ...

Foreword: I wish solving housing affordability fit into a 30-second TikTok or Instagram reel. It just doesn’t. But if we’re serious about fixing homeownership in America, we need to move past ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

In a recent Fox Business interview, Pichai detailed the company’s vision to mitigate the massive energy consumption required by artificial intelligence (AI). Describing the initiative as a “moonshot” ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...