AI•ON is an open community dedicated to advancing Artificial Intelligence by:
- Drawing attention to important yet under-appreciated research problems.
- Connecting researchers and encouraging open scientific collaboration.
- Providing a learning environment for students looking to gain machine learning experience.
Applied research problems
Develop a system capable of automatic segmentation of the right ventricle in images from cardiac magnetic resonance imaging (MRI) datasets.
Develop a model to analyze the content of new biomedical articles to determine the likelihood of fraud or scientific error.
Develop a model (similar to a super-resolution model) capable of enhacing the realism of 3D-rendered scenes.
Use GANs and other generative models to develop better data augmentation techniques for computer vision models.
Analyze political botnet activity on Twitter and develop effective counter-measures.
Improve segmentation models and generative models by using a subpixel CNN as the upsampling operation.
Develop a specialized visual segmentation model to help cytogeneticists conduct research.
Fundamental research problems
Explore techniques for training supervised residual networks in a layer-by-layer fashion, rather than end-to-end.
Explore techniques for developing models that can perform well on data that significantly differs from the training data.
Use neuroscience and deep learning to generate music that pushes the right buttons in our brains.