Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

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

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” ...

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

When AI becomes present in our homes, our clinics, our warehouses, our streets, its behavior becomes part of our communities, ...

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 ...

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Today's best AI systems don't have a good grasp on their own thought process, but a new model might allow them to tap into ...

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, ...

The experiment also teaches that while AI can assist the legal system, replacing human jurors entirely would raise profound ...