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, ...

Franz Inc. expands graph, vector, and Neuro-Symbolic capabilities for enterprise-scale AI systems LAFAYETTE, CA, UNITED ...

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 ...

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 lines ...

As artificial intelligence (AI) powers ahead, the question is no longer if we will integrate AI into core Web3 protocols and applications, but how. Behind the scenes, the rise of NeuroSymbolic AI ...

A new technical paper titled “Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture” was published by researchers at Georgia Tech, UC Berkeley, and IBM Research.

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...

Man surrounded by yellow glowing dollar sign gazes at thin PC monitor displaying brain and gears. Credit: VentureBeat made with Midjourney The buzzed-about but still stealthy New York City startup ...

In what may be a first-of-its-kind moment, artificial intelligence has independently conferred a symbolic certificate of distinction on a human, not through any programmed automation or formal system, ...