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 ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, are now widely used worldwide to create written content, source information ...

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, ...

Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...

Large language models have found great success so far by using their transformer architecture to effectively predict the next words (i.e., language tokens) needed to respond to queries. When it comes ...

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 reveal a vital prompting technique known ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

Bottom line: More and more AI companies say their models can reason. Two recent studies say otherwise. When asked to show their logic, most models flub the task – proving they're not reasoning so much ...

Logical Intelligence is an artificial intelligence research company building the first fully language-free, mathematically grounded Energy Based Models. These systems differ from LLMs and hybrid EBM ...