What is the Infrastructure Phase of Machine Learning?

A Union Square Ventures post from last fall called out the fact that throughout the course of technology history, apps→

Bryan House
09.25.2019

Data Scientists Make These 3 Common Mistakes

The practice of training and putting machine learning systems into production involves a lot of trial and error. However, there→

Bryan House
09.17.2019

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

Welcome to Limitless AI

Throughout history, there have been two ways of solving problems: work within limits, or find ways to overcome them. Today,→

Bryan House
08.06.2019
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