Explainable AI (XAI) is a branch of AI research that examines how artificial agents can be made more transparent and trustworthy to their human users. Trustworthiness is essential if robots and people ...

Editor’s note: This article, distributed by The Associated Press, was originally published on The Conversation website. The Conversation is an independent and nonprofit source of news, analysis and ...

Humans create internal symbolic representations and rules for interacting with the world based on logic to understand the world. Rule-based AI is a significant component of symbolic AI. Symbolic AI ...

Artificial intelligence is entering our lives in many ways – on our smartphones, in our homes, in our cars. These systems can help people make appointments, drive and even diagnose illnesses. But as ...

Artificial intelligence can speed up and simplify time-consuming tasks through its ability to quickly spot patterns in data. By adding rule-based reasoning to the mix, neurosymbolic AI ups the ...

Artificial intelligence is entering our lives in many ways – on our smartphones, in our homes, in our cars. These systems can help people make appointments, drive and even diagnose illnesses. But as ...

Artificial Intelligence is morphing itself to the requirements of our enterprise applications and our consumer interests at the same time. As the number and type of AI services continue to grow, data ...

Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...