Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

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 ...

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 ...

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

Foundational Concepts in Artificial Intelligence Defining Artificial Intelligence and Its Scope So, what exactly is ...

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 ...

Discover what context graphs are, why they're revolutionizing AI systems, and who's building this trillion-dollar technology that transforms how machines understand relationships and reasoning.

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

If you go to ChatGPT.com, choose the o4-mini model from the drop-down menu and enter a prompt, you’ll see a message you’ve probably never seen before. “Thinking,” the chatbot responds as several ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

SHANGHAI, March 22 (Reuters) - Chinese tech giant Tencent on Friday night launched the official version of its T1 reasoning model, stepping up competition in China's increasingly crowded artificial ...