Feb. 19, 2024, 7:27 p.m. | Allen Institute for AI

Allen Institute for AI www.youtube.com

Abstract: The domains of mathematics and software engineering witness a rapid increase in complexity. As generative artificial intelligence emerges as a potential force in mathematical exploration, a pressing imperative arises: ensuring the correctness of machine-generated proofs and software constructs.
The Lean proof assistant addresses these challenges. Lean functions as an integrated development environment wherein mathematical proofs undergo interactive construction and verification. Concurrently, software undergoes mechanical verification. A salient feature of Lean is its inherent extensibility, permitting users to craft their …

abstract artificial artificial intelligence assistant challenges complexity domains engineering exploration functions generated generative generative artificial intelligence intelligence lean machine mathematics software software engineering witness

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

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior ML Engineer

@ Carousell Group | Ho Chi Minh City, Vietnam

Data and Insight Analyst

@ Cotiviti | Remote, United States