189 citations · 210 across the 5 of their papers we have counts for
5 papers
Technology Readiness Levels for Machine Learning Systems
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic +12
The development and deployment of machine learning (ML) systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of dilig…
SpaceML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA
Anirudh Koul, Siddha Ganju, Meher Kasam +1
Traditionally, academic labs conduct open-ended research with the primary focus on discoveries with long-term value, rather than direct products that can be deployed in the real wo…
Learnings from Frontier Development Lab and SpaceML -- AI Accelerators for NASA and ESA
Siddha Ganju, Anirudh Koul, Alexander Lavin +3
Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines: academic labs and government organizations pursue open-ended resear…
Technology Readiness Levels for AI & ML
Alexander Lavin, Gregory Renard
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. The lack of diligence…
NASA's Asteroid Grand Challenge: Strategy, Results and Lessons Learned
Jennifer L Gustetic, Victoria Friedensen, Jason L Kessler +2
Beginning in 2012, NASA utilized a strategic process to identify broad societal questions, or grand challenges, that are well suited to the aerospace sector and align with national…