Utilising an Artificial Intelligence-based algorithm, Indian Astronomers have devised a new approach for identifying potentially habitable planets with a high probability.
Multi-Stage Memetic Binary Tree Anomaly Identifier (MSMBTAI)
- The AI-based method, named Multi-Stage Memetic Binary Tree Anomaly Identifier (MSMBTAI), is based on a novel multi-stage memetic algorithm (MSMA).
- In the present work, astronomers from the Indian Institute of Astrophysics, an autonomous institute of the Department of Science & Technology, Govt. Of India, along with astronomers from BITS Pilani, Goa campus have devised a new approach — an anomaly detection method — by which they can identify potentially habitable ones with a high probability.
- The method is based on the postulate that Earth is an anomaly, with the possibility of existence of few other anomalies among thousands of data points.
- According to the study, there are 60 potentially habitable planets out of about 5000 confirmed, and nearly 8000 candidate planets proposed.
- The assessment is based on their close similarity to Earth. These planets can be viewed as candidates for anomalous instances in a huge pool of `non-habitable’ exoplanets.
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