| Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems (NEMESIS) |
| Ilknur Gezer |
| Konkoly Observatory |
| Classes/Evolutionary Stages for young stellar objects were defined over 30 years ago through the first space-based infrared sky surveys, which is proficient in assessing general characteristics, but it is prone to notable uncertainties. Recent findings suggest that planets form simultaneously with their host stars, indicating a swift early development of star-planet systems. To investigate these timelines, it is crucial to identify the key transitions characterizing each stage of star formation. Today, we have significantly higher quality and much larger volumes of data, more advanced computing methods and higher computing power, which allow us to revisit the standard star-formation. NEMESIS aims to revolutionize our understanding of star formation using artificial intelligence to analyse the vast dataset of young stellar objects. We are compiling the most extensive panchromatic dataset of young stellar objects in nearby star-forming regions. We are employing supervised and unsupervised machine learning, including deep learning neural networks, for advanced analysis. |