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Artificial Intelligence is going for Planet Hunting

Artificial Intelligence is going for Planet Hunting

What if today, we found out that Earth is not the only planet with life? What if we have found other planets which sustains life? Well, all this can soon become a reality. With the advent of AI and Machine Learning, we are making some significant progress in this technology and with every passing day, we are seeing AI being incorporated in every aspect of our lives starting from the music we listen to the movies we watch. Scientists now are working on training an AI System such that it will help us in hunting new planets and searching for life within it.

“Machine learning is a way of teaching computers to recognize patterns, and it’s particularly useful in making sense of large amounts of data. The key idea is to let a computer learn by example instead of programming it with specific rules.”

A study conducted by Plymouth University used Artificial Neural Network and classified planets into five types and estimated a probability of life in each cases. Artificial Neural Networks are designed such that they attempt to replicate the human brains. In fact, the word neural networks takes inspiration from the human nervous system. The use of Machine Learning particularly helps in identifying patterns that are too complex for a biological brain to process quickly. The neural network has been trained in such a way that they classify the planets like, present Earth, the early Earth, Mars and so on.

This study forms the basis of a robotic interstellar probe that could strategically prioritize the exploratory objectives for potential signs of life. Artificial Intelligence will play a key role in such a probe as such patterns will be out of range for any human to understand and make a quick decision on the basis of that.

The neural network is presented with several inputs all representing the three main environmental conditions required to sustain life which are the atmospheric observations and AI processes this data and finds the pattern using Neural Networks and classifies them in terms of planetary type.

The neural network is trained with various spectral profiles each having parameters ranging from data for contributing habituality of various solar systems identifying patterns capable of sustaining life.  

AI and Machine Learning can help us fueling the search for celestial bodies sustaining life and cut short all the humane tasks needed in identifying and selecting a possible source for exploration. With each passing day, with each new discovery in the field of AI, it will help in fueling the space explorers with tremendous power for many years to come. To infinity and beyond.!