The model, called ether0, outperforms other advanced AIs at chemistry tasks and is a stepping stone towards automating the ...

Despite concerns, students say AI has already reduced their math anxiety and educators say its presence makes their work more ...

Pamela Weber Harris , a former high school math teacher contends in a new volume, Developing Mathematical Reasoning: Avoiding ...

Alibaba's QwenLong-L1 helps LLMs deeply understand long documents, unlocking advanced reasoning for practical enterprise applications.

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

The revised syllabus for Class 9 Mathematics is thoughtfully designed to strengthen core concepts while encouraging ...

Can large language models (LLMs) reason by analogy? Some outputs suggest that they can, but it has been argued that these ...

empirical and/or deductive reasoning, and b.) mathematical ... including high school courses in algebra. Examples of topics that may be appropriate for this requirement include decision-making in ...

Agentic AI systems may incorporate elements of both deterministic and probabilistic reasoning. Examples include autonomous vehicles, AI-driven financial trading, automated healthcare decision ...

However, standard practices employ rejection sampling, discarding incorrect reasoning examples---valuable, yet often underutilized data. This paper addresses the critical question: ...