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→
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→
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→
Using CNNs for Inference
Convolutional neural networks (CNNs) are a type of neural network most often used for image recognition and classification. CNNs excel→
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→
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→
Welcome to Limitless AI
Throughout history, there have been two ways of solving problems: work within limits, or find ways to overcome them. Today,→