After personally seeing many researchers in fields like biology, materials science, and chemistry struggle to apply machine learning to their valuable domain datasets to accelerate scientific discovery and gain deeper insights, often due to the lack of specialized ML knowledge needed to select the right algorithms, tune hyperparameters, or interpret model outputs, we knew we had to help.
That's why we're so excited to introduce the new AutoML feature in Curie , our AI research experimentation co-scientist designed to make ML more accessible! Our goal is to empower researchers like them to rapidly test hypotheses and extract deep insights from their data. Curie automates the aforementioned complex ML pipeline – taking the tedious yet critical work.
For example, Curie can generate highly performant models, achieving a 0.99 AUC (top 1% performance) for a melanoma (cancer) detection task. We're passionate about open science and invite you to try Curie and even contribute to making it better for everyone!
amberjcjj•1d ago
That's why we're so excited to introduce the new AutoML feature in Curie , our AI research experimentation co-scientist designed to make ML more accessible! Our goal is to empower researchers like them to rapidly test hypotheses and extract deep insights from their data. Curie automates the aforementioned complex ML pipeline – taking the tedious yet critical work.
For example, Curie can generate highly performant models, achieving a 0.99 AUC (top 1% performance) for a melanoma (cancer) detection task. We're passionate about open science and invite you to try Curie and even contribute to making it better for everyone!
Check out our post: https://www.just-curieous.com/machine-learning/research/2025...