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 ...

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

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

Co-production is a methodology that leverages the expertise of practitioners and community members to develop holistic solutions to multifaceted problems at the intersection of society and the ...

On the 15th, local time, in a lecture hall for the AI (artificial intelligence) course at Stanford University’s Computer ...

An examination of the permissible exemptions to minimum wage and overtime requirements under California law, as applied to private, non-unionized employers, including the executive, administrative, ...

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 ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

What's next for artificial intelligence (AI)? For Stephen Smith, a senior U.S. robotics researcher, the answer may lie in the ...

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 ...

Allowing AI to talk to itself helps it learn faster and adapt more easily. This inner speech, combined with working memory, lets AI generalize skills using far less data.