I am pretty broad at the moment. I like to explore different ideas and see how the relate to each other
Data integration is a new interest. After sifting through multiple formats of annotations for computer vision it has become apparent the number one problem is the lack of a universal annotation standard.
Deep learning in general. I want to understand many of the architectures and see how they correspond with each other.
Computer Vision is pretty broad. However I am learning a lot about computer vision and tracking patterns seems to be really interesting.
This should go without saying that I really like understanding data and trying to figure out what a culmination of features actually mean. However, I would like use these skills in my own business some day.
I think evolutionary algorithms along with neural networks are the coolest things. They can be made to optimize a problem or parameter. Adversarial examples using MAP-elites are my current interests with EAs
Generative algorithms are my main interest. The reason for that is because I believe that having an algorithm be able to generate a human concept will be the ultimate techonolgical advancement