Posted on

Episode #1 – Lunar Lander Challenge

Join the useAIble team while we start our Machine Learning challenges by pitting useAIble’s patent pending Ryskamp Neural Network against Google TensorFlow machine learning engine. We also talk about what drives innovation in AI and technology in general. To try the Lunar Lander challenge yourself, click here

Posted on

Episode #2 – The Maze Challenge

For our second challenge we wanted a harder machine learning challenge – a non-linear problem. Once again we’re stacked up against Google TensorFlow. We also talk about the difference between linear and non-linear problems in machine learning and artificial intelligence. Non-linear problems aren’t too easy for traditional AI, and we give you some insight on why useAIble’s Ryskamp Neural Network is different. To try the Maze Machine Learning Challenge, click here

Posted on

Episode #3 – Plan-o-Gram Retail Shelf Optimization Tool

We’re taking a break from head-to-head challenges to show off a machine learning tool we built for a client that optimizes the productivity of their retail shelves. The retail industry operates on slim margins…every penny counts! useAIble harnesses artificial intelligence to provide guidance to maximize performance on the metrics that matter most.

Posted on

Episode #4 – Building machine learning into…a race car!

Before we return to head-to-head challenges, we introduce you to one of our long term projects – putting AI smarts into a Shelby Cobra! We’re devoted to taking machine learning into the real world, and goosing up the zoom zoom and vroom vroom with artificial intelligence (and the internet of things) is in our wheelhouse!