NASA USING MACHINE LEARNING

• Self-Driving Rovers on Mars – The Spirit and Opportunity Rovers:-NASA had created the technology for autonomous driving for Mars Rovers almost a decade ago. A Machine Learning based navigation and driving system for self-driving Mars rovers known as AutoNav was actually used in the Spirit and Opportunity rovers which landed on Mars as early as 2004. Another rover launched in 2011, Curiosity also uses Autonav and it is a rover that is still exploring Mars till date with the mission of finding water and other factors that might make Mars suitable for human exploration in the future

. Medicine in Space – Exploration Medical Capability (ExMC):-All in all, the main aim of the Exploration Medical Capability is that astronauts stay fit and healthy in space (Especially on long and far-away missions). And unlike what comic books tell you about space, some of the common health risks associated with space travel are radiation hazards, harsh environmental challenges, issues due to gravitational changes, etc. In these situations, the astronauts cannot directly contact doctors on Earth as there is a time-lag and so the ExMC uses machine learning to provide self-reliant autonomous medical care with the help of remote medical technologies.

• Finding Other Planets in the Universe – Planetary Spectrum Generator:-The Planetary Spectrum Generator is a tool that NASA uses to create 3-D orbits and atmospheric properties of the exoplanets they find. To create a working model for the solar system, scientists use linear regression as well as convolutional neural networks. Then further fine-tuning is conducted on the model before it is ready for training.The above image demonstrates the results generated for an exoplanet that demonstrate the amount of water and methane in the atmosphere. As you can see in the CH4 and H2O graph, the black lines denote the predictions that were made using Machine Learning and the red lines indicate the actual findings. As you can see the trained ML model is quite accurate in this situation.
• A Robotic Astronaut – The Robonaut:-Robonaut basically uses Machine Learning to “think” for itself. So the scientists or astronauts can give tasks to the Robonaut and it figures out how to perform them. In general, Eobonaut also has many advantages over normal humans like advanced sensors, insanely high speeds, compact design, and much higher flexibility. There is a lot of advanced technology that was used to develop Robonaut which includes touch sensors at its finger-tips, full neck travel range, high-resolution camera, and Infra-Red systems, advanced finger and thumb movement, etc.