Infinite Loop, Volume 1, Fall 2023 – Spring 2024

Josh Dafoe: A Self-auditing Protocol for Decentralized Cloud Storage via Trusted Hardware Components • 313 kB [pdf]
Dafoe, Josh., Chen, Niusen., Chen, Bo. (2023). Poster: A Self-auditing Protocol for Decentralized Cloud Storage via Trusted Hardware Components. Infinite Loop, volume 1. Michigan Technological University. Showcase[AI] Winner. https://loop.cs.mtu.edu
Schmitz: Typing in Mixed Reality: Does Eye-Tracking Improve Performance? • 458 kB [pdf]
Schmitz, Cecilia. (2023). Poster: Typing in Mixed Reality: Does Eye-Tracking Improve Performance?. Infinite Loop, volume 1. Michigan Technological University. Showcase[AI] Winner. https://loop.cs.mtu.edu
Andrea Sarabia: The Practice of Tone Indicators in Chat-based Communication • 688 kB [pdf]
Sarabia, Andrea (2023). Poster: The Practice of Tone Indicators in Chat-based Communication. Infinite Loop, volume 1. Michigan Technological University. Showcase[AI] Winner. https://loop.cs.mtu.edu

Schmitz: Typing in Mixed Reality Does Eye-Tracking Improve Performance • 954 kB [pdf]
Schmitz, Cecilia., Kohl, Scott., Vertanen, Keith. (2023). Paper: Typing in Mixed Reality: Does Eye-Tracking Improve Performance?. Infinite Loop, volume 1. Michigan Technological University. https://loop.cs.mtu.edu
Bunker: Soon: A Regular Description Language for Simulating Finite Automata • 954 kB [pdf]
Bunker, Reese. (2023). Paper: Soon: A Regular Description Language for Simulating Finite Automata. Infinite Loop, volume 1. Michigan Technological University. Showcase[AI] Winner. https://loop.cs.mtu.edu
McCarthy: Paper: Mathematics of the MML functional quantizer modules for VCV Rack software synthesizer • 180 kB [pdf]
Schneider, Maxwell., McCarthy, C., Maxwell, Michael G., Schneider, Robert., Sills, Andrew V., Pfeffer, Joshua., (2024). Paper: Mathematics of the MML functional quantizer modules for VCV Rack software synthesizer. Infinite Loop, volume 1. Michigan Technological University. https://loop.cs.mtu.edu
Duncan: Paper: Using Reinforcement Learning to Train In-game Non-Player Characters (NPCs) • 516 kB [pdf]
Duncan, Ransom., (2024). Paper: Using Reinforcement Learning to Train In-game Non-Player Characters (NPCs). Infinite Loop, volume 1. Michigan Technological University. https://loop.cs.mtu.edu