They require a knowledge graph. Topics Spotlight: AI -ready ... vendors and other outside contributors—to explore and discuss the challenges and opportunities of generative artificial intelligence.

A New York article recently dug into AI’s place in education and how many students are relying on AI to do all of their ...

GraphRag: Overcoming challenges of integrating Large Language Models as reliable elements of the cyber defence community. By Dominik Tomicevic ...

Next-generation systems will optimize the explainability and trustworthiness of the overall human-AI system, and knowledge graphs will serve as a key ingredient that makes these systems more ...

Knowledge graphs serve as the system of intelligence layer to build smarter, more accurate and grounded agents, turning data into actions that drive business outcomes in agentic AI workflows.

AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their applications, and seeing rapid growth in the 2020s. Written by George Anadiotis, Contributor Dec. 21, 2021 at ...

The true threat of unrestrained AI is how people deploy that knowledge to manipulate, misinform, and surveil. For example, governments worldwide already use facial recognition to track dissidents.

AI Isn't Dangerous—Yet The growing technology of AI is exciting — but using this technology at such a high rate could come with a cost. Published Nov 08, 2023 at 8:11 AM EST ...

Former President Trump called artificial intelligence (AI) “maybe the most dangerous thing out there,” during an interview published Friday. Asked by Fox Business Network host Maria Bartiromo ...

Having AI Mode in Google Search is a similar experience. For some people, it might be even better than using Gemini or ChatGPT. Come to think of it, AI Mode might be the one feature that gets me ...

Unlike conventional AI models, which rely solely on vast amounts of preloaded training data, Diffbot’s LLM draws on real-time information from the company’s Knowledge Graph, a constantly ...