On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...

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

Artificial Intelligence may possibly be the single most misunderstood concept in contemporary data management. Most organizations are unclear about the relationship of AI to machine learning (they’re ...

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, ...

Ziwei Zhu, Assistant Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “III: Small: Harnessing Interpretable Neuro-Symbolic Learning for ...

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 ...

The main problem with big tech’s experiment with artificial intelligence is not that it could take over humanity. It’s that large language models (LLMs) like Open AI’s ChatGPT, Google’s Gemini, and ...

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...

In the era of Deep Learning, we often come across Symbolic AI and Non-Symbolic AI. What exactly is Symbolic AI? To start, Symbolic AI (or Classical AI) is the branch of Artificial Intelligence that ...