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

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, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Artificial intelligence research has made great achievements in solving ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Even as many enterprises are just starting to dip their toes into the AI ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. Well, it could be that I am invoking an ever-popular and ...

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 ...

Neuro-symbolic AI integrates networks' adaptability and learning capabilities with AI's interpretability and rule-based reasoning. Neuro-symbolic AI is an interdisciplinary field that merges symbolic ...