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My Journey to creating an AI Model to Detect Exoplanets
- Artificial intelligence is revolutionizing space exploration and aiding in the discovery of exoplanets orbiting stars other than the Sun.
- AI models analyze light curves to detect transit dips, suggesting the presence of exoplanets by observing fluctuations in brightness over time.
- Flux quantifies light from celestial objects, helping determine the period of a planet's orbit and its size relative to the star.
- Various AI models like KNeighbors Classifier, Logistic Regression, Neural Networks, and Convolutional Neural Networks are used for exoplanet detection.
- KNeighbors Classifier achieved 99.12% accuracy, Logistic Regression had 63.68%, Neural Networks had 98.95%, and Convolutional Neural Networks had 99.18% accuracy in predicting exoplanets.
- AI systems can extend beyond space exploration to analyze FLUX data for sound, liquid, and music generation based on text input.
- AI advancements have practical applications in various fields like biology, chemistry, and video enhancement, showcasing the potential for innovative discoveries.
- AI's role in enabling groundbreaking research, such as detecting exoplanets and enhancing scientific instruments, underscores its importance in future discoveries.
- Artificial intelligence serves as a catalyst for progress and promising advancements in multiple domains, offering vast potential for future developments.
- Efficient AI systems, like those used in space exploration, hold promises for diverse applications that can impact numerous areas of human life and scientific exploration.
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