Jan. 27, 2024, 2:09 a.m. | Wolfram

Wolfram www.youtube.com

Wolfram Language provides an advanced framework for rapidly prototyping neural network applications and exploring research ideas. In this talk, I demonstrate the language features that helped me develop a novel neural network that learns compact non-differentiable Boolean functions.

advanced applications differentiable features framework functions ideas language network neural network novel prototyping research talk wolfram

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne