Knowledge representation and reasoning form the intellectual backbone of artificial intelligence, facilitating the structured encoding of information and enabling systems to infer, learn and decide in ...

Executives who deploy agentic AI position their organizations to operate with deeper, more diversified intelligence, ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

The future enterprise won't be defined by how much data it holds but by how intelligently and responsibly agents act on that ...

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...

Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

Many have dubbed this year "the year of AI agents," as these AI systems that can carry out tasks for users are especially useful for optimizing enterprise workflows. At ServiceNow's annual Knowledge ...

Since its introduction by Microsoft in 2024 as a way to address the limitations of large language models, GraphRAG has emerged as a leading method for focusing LLM reasoning and delivering accurate, ...

Artificial intelligence may have impressive inferencing powers, but don't count on it to have anything close to human reasoning powers anytime soon. The march to so-called artificial general ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

Imagine two interns. The first follows instructions to the letter—compiling research, scheduling social media posts, and managing your calendar. The second completes the same tasks but takes it a step ...