#machinelearning

Building the First Neural Network My program was running successfully and was using GPU to ...

In the world of data science, there is an old axiom that holds truer in aviation than perhaps any ...

Check out this comprehensive guide to building production-ready features that actually work.

Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, ...

The 0.33-Second Coherence Framework: A Timing Architecture for Safer, More Stable AI ...

If you're a blogger or content creator, you might already know how powerful Pinterest can be -- but ...

Modern robots collect a lot of data from sensors, cameras, logs, and system outputs. Managing this data well is important for debugging, performance tracking, and training machine learning models. Over the past few years, we've been building a ...

WTF is this: Deciphering the Mystery of Intelligent Document Processing Ah, documents - the ultimate ...

Over the past few weeks I've been building a fully-playable 8-bit virtual console from scratch -- CPU,

TinyNN: A Fast, Zero-Dependency Neural Network Library for Node.js A lightweight neural ...