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.

SingularityNET unveils Hyperon AGI platform and PRIMUS architecture combining symbolic reasoning and neural learning to guide ...

Byron Cook, a distinguished scientist at Amazon, is is helping the company use an obscure type of AI to minimize AI's worst ...

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 ...

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 ...

Three new reports have criticised the EU’s artificial intelligence strategy, including its plan to spend €20 billion on ...

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 ...