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

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Research team unveils ProSyno, a context-free prompt-learning model that taps Wiktionary descriptions and a dynamic matching ...

Dr. Le Quan from Fulbright University Vietnam, says that education is facing a significant challenge: the abuse of AI could make learners lazy in thinking, leading to the question: 'Why bother ...

A Professor of ICT Education at the University of Education, Winneba (UEW), Professor Issifu Yidana, has called for a shift in how technology is taught and applied in the country’s education system, s ...

Joseph Weizenbaum realized that programs like his Eliza chatbot could "induce powerful delusional thinking in quite normal ...

SINGAPORE, Jan. 28 (Xinhua) -- What's next for artificial intelligence (AI)? For Stephen Smith, a senior U.S. robotics researcher, the answer may lie in the way humans learn: lifelong learning.

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but many systems struggle when real-world data do not match ideal conditions.

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

With curriculum reforms across language, STEM, and higher education pathways, Malaysia aims to nurture students who are both ...

A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...