Sunday Reads – Links I Found Interesting 6/16

PyTorch PyTorch Hub is an awesome new step forward in research reproducibility for machine learning and artificial intelligence. Makes it super easy to publish your pre-trained research models and for others to download them and test them. I was shocked how uncommon it was for people to publish their models when I first started reading … Continue reading Sunday Reads – Links I Found Interesting 6/16

Sunday Reads – Links I Found Interesting 6/9

Mapping human microbiome drug metabolism by gut bacteria and their genes A fascinating look at how the microbiome may affect drug metabolism. Important to remember that the game does not end at pharmacogenomics and we need to be paying attention to the complex interplay of numerous complex systems to understand drug action. Deep learning can … Continue reading Sunday Reads – Links I Found Interesting 6/9

Sunday Reads – Links I Found Interesting 6/2

EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling Google did that thing they do again where they make vast steps in artificial intelligence and machine learning. Efficiency of these image recognition networks is up to 10* greater. Most of this gain is because they try to use "scaling coefficients" so that the network … Continue reading Sunday Reads – Links I Found Interesting 6/2

Expertise, Diminishing Returns, and Intersecting Niches

I have been thinking recently about skill development, because I have a habit of never being focused in a single area and instead trying to learn as much as I can in as many niches as I can. Because of this, I am only what could be considered an expert in a relatively narrow subset. … Continue reading Expertise, Diminishing Returns, and Intersecting Niches