A marriage of formal methods and LLMs seeks to harness the strengths of both.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

AI systems don’t hold firm beliefs the way humans do. They generate responses based on statistical data patterns without ...

Error theory can mean vastly different things depending on the context - what does it mean in the context of science and AI?

In a position paper published last week, 40 researchers, including those from OpenAI, Google DeepMind, Anthropic, and Meta, called for more investigation into AI reasoning models’ “chain-of-thought” ...

What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The ...

SF-based Company Delivers $34-45M in Annual Value for Refineries Through Advanced AI That Combines Data, Engineering ...

How StrikePlagiarism.com’s Explainable AI delivers transparent, interpretable AI detection — helping educators ...

Everyone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As generative AI is increasingly used as an assistant rather than just a tool, ...