For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone.

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. This voice experience is generated by AI. Learn more. This voice ...

To understand R1-Zero-like training, we critically examine two core components: base models and reinforcement learning. We highlight our findings below. In R1-Zero-like training, the template and the ...

We released MM-K12 dataset at MM-K12. This dataset will be used as input to the data pipeline to generate annotated solution trees with step-wise correctness labels. To enable parallel data generation ...

A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very ...