Archived challenge

Anomaly Detection Challenge — ML Challenge 2024 (Year 1)

Scientific discovery often involves finding an inconsistent pattern within our data. Data that behaves differently from what is expected can indicate that the underlying science is different. Different behavior can result from a number of effects,but ultimately this could imply that we have observed something new🌟!

Depending on the scientific domain, a new, unpredictable object/event could have a profound impact. This could be a new type of material, the discovery of a new astrophysical object 🌌, the observation of unusual climate behavior 🌦️, or the discovery of a new species 🦋. The observation of something different, incongruous with the data, is what we call anomaly detection 🔍. Looking for anomalies is often quite different than other tasks since we do not know what exactly to look for, we just need to look for something different.

The main focus of this challenge is the application of machine learning to scientific anomaly detection 🤖.

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