Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

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 by ...

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 lines ...

Even as artificial intelligence (AI) has surged into our daily lives, we’ve remained aware that it’s still in its infancy.

Today’s generative AI is capable of amazing things. It can seemingly understand what we say and provide very humanlike responses to our queries. It can identify things in pictures, and come up with ...

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 ...

ADELPHI, Md.-- Researchers at the U.S. Army’s corporate research laboratory developed an artificial intelligence architecture that can learn and understand complex events, enhancing the trust and ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the next few years, artificial intelligence (AI), will dominate the business landscape, ...

Neuro Symbolic AI represents a development in intelligence that has the potential to create AI systems that are more resilient, understandable, and efficient. This hybrid approach demonstrates the ...