One of the main objectives of the Mars Exploration Program is to search for evidence of past or current life on the planet.
Machine learning
Video: Building an Onboard AI to Act as an Advance Science Team
Dr. Ryan Felton hosts Dr. Bethany Theiling from the NASA Goddard Space Flight Center. Bethany discusses her research and endeavors to make AI/ML in-situ autonomous capabilities during planetary missions a […]
Competition To Unlock The Atmospheres Of Distant Planets Using AI
The competition, based on the European Space Agency’s Ariel space mission and featured at the NeurIPS 2024 machine learning conference, will tackle one of astronomy’s most complex and important data […]
NASA Trains Machine Learning Algorithm for Mars Sample Analysis
When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short mission durations and […]
AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload
Artificial Intelligence (AI) has the potential to revolutionize space exploration by delegating several spacecraft decisions to an onboard AI instead of relying on ground control and predefined procedures.
GLARE: Discovering Hidden Patterns In Spaceflight Transcriptome Using Representation Learning
Spaceflight studies present novel insights into biological processes through exposure to stressors outside the evolutionary path of terrestrial organisms. Despite limited access to space environments, numerous transcriptomic datasets from spaceflight […]
Tricorder Tech: A.I. / Machine Learning: Adaptive Sampling With PIXL On Mars Perseverance
Editor’s note: From the paper’s Introduction: “At the time of this writing, PIXL’s adaptive sampling capability has been operating on Mars for over 951 sols (martian days), with over 52 […]
The Detection of a Possible Exoplanet Orbiting KIC 1718360 Using Machine Learning
This paper presents the detection of a periodic dimming event in the lightcurve of the G1.5IV-V type star KIC 1718360. This is based on visible-light observations conducted by both the […]
Astrobiology Droids: Autonomous Robotic Arm Manipulation for Planetary Missions Using Causal Machine Learning
Autonomous robotic arm manipulators have the potential to make planetary exploration and in-situ resource utilization missions more time efficient and productive, as the manipulator can handle the objects itself and […]
FlopPITy: Enabling Self-consistent Exoplanet Atmospheric Retrievals With Machine Learning
Interpreting the observations of exoplanet atmospheres to constrain physical and chemical properties is typically done using Bayesian retrieval techniques.
