Why Machine Learning Needs Academia and Industry to Survive

The field of machine learning has progressed quickly in the last decade, and there’s a big reason why: both academics→

Bryan House
09.12.2019

Using CNNs for Inference

Convolutional neural networks (CNNs) are a type of neural network most often used for image recognition and classification. CNNs excel→

Bryan House
09.04.2019

A Brief History of GPUs

Graphics processing units (GPUs) were popularized in the late 1990s and early 2000s by Nvidia and ATI (now a part→

Bryan House
08.06.2019

Why Software Will Eat the Machine Learning World

Seven years ago, Marc Andreessen wrote his now-infamous Wall Street Journal op-ed, “Why Software is Eating the World,” ushering in→

Bryan House
08.06.2019

Machine Learning Inference: Why Use GPUs?

Or other domain-specific chipsets, for that matter? In the machine learning inference phase, training is complete and it’s time for→

Bryan House
08.06.2019