From the 1 of 5 linked papers with an AI index.
5 papers
A Fast Quantitative Analyzer for NetKAT
Thomas Lu, Qiancheng Fu, Kevin Batz +5
The paper introduces a fast analyzer for quantitative network properties using weighted NetKAT, employing a symbolic data structure and specialized algorithms to efficiently comput…
LeanTutor: Towards a Verified AI Mathematical Proof Tutor
Manooshree Patel, Rayna Bhattacharyya, Thomas Lu +4
This paper considers the development of an AI-based provably-correct mathematical proof tutor. While Large Language Models (LLMs) allow seamless communication in natural language,…
LeanTutor: Towards a Verified AI Mathematical Proof Tutor
Manooshree Patel, Rayna Bhattacharyya, Thomas Lu +4
This paper considers the development of an AI-based provably-correct mathematical proof tutor. While Large Language Models (LLMs) allow seamless communication in natural language,…
Enhancing Fault-Tolerant Space Computing: Guidance Navigation and Control (GNC) and Landing Vision System (LVS) Implementations on Next-Gen Multi-Core Processors
Kyongsik Yun, David Bayard, Gerik Kubiak +5
Future planetary exploration missions demand high-performance, fault-tolerant computing to enable autonomous Guidance, Navigation, and Control (GNC) and Lander Vision System (LVS)…
Active Learning of Symbolic NetKAT Automata
Mark Moeller, Tiago Ferreira, Thomas Lu +2
NetKAT is a domain-specific programming language and logic that has been successfully used to specify and verify the behavior of packet-switched networks. This paper develops techn…