Today, artificial intelligence is mostly about artificial neural networks and deep learning. But this is not how it always was. In fact, for most of its six-decade history, the field was dominated ...

Symbolic reasoning algorithms may be poised to emerge into the spotlight; hybridized with neural networks in the form of "neural-symbolic" systems.

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

A synthesis of these two solutions is neuro-symbolic AI: blending the pattern-recognition prowess of neural networks with the rule-based clarity of symbolic systems.

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 ...

An alternative to the neural network architectures at the heart of AI models like OpenAI's o1 is having a moment. Called symbolic AI, it uses rules pertaining to particular tasks, like rewriting ...

Recently, Anhui Zhongji Star Electronic Technology Co., Ltd. submitted a patent application titled "Dynamic Control Method ...

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 ...