Max Tegmark

Study reveals language models utilize complex, multi-dimensional features for language processing.

This study explores how neural network representations evolve during training, inspired by nature.

Kolmogorov-Arnold Networks offer innovative solutions for data analysis and learning.

New methods help find integrable systems using machine learning and human expertise.

DafnyBench benchmarks software verification tools, paving the way for reliable programming.

A study on transformers' capabilities in modeling simple harmonic oscillators.

An in-depth look at how language models maintain accuracy with structural changes.

KANs bridge AI and science, simplifying complex problems and enhancing research.