It's an old joke that there are three kinds of people in the world: those who are good at math and those who aren't.

Algebra can be demystified with the right approach. Transforming word problems into mathematical expressions is crucial, ...

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

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 ...

For instance, researchers strive to decode what happens within neural networks—the black boxes of AI—to ensure that the decisions they make do not rely on misguided reasoning or faulty logic.

Examples of this model type include the open-source LLaDA and the closed-source Mercury model from Inception Labs. “While autoregressive LLMs can use reasoning to enhance quality, this ...

DeepMath-103K is meticulously curated to push the boundaries of mathematical reasoning in language models ... DeepMath-103K spans a wide spectrum of mathematical subjects, including Algebra, Calculus, ...

Algebraic reasoning and numbers and operations content ... and math teachers and found that those preparing teachers, for example, were more likely than practicing math teachers to say that ...