Robotic Motion Planning

George Konidaris and Daniel Sorin of Duke University have developed a new technology that cuts robotic motion planning times by 10,000 while consuming a small fraction of the power compared to current options. Watch one of their robotic arms in action as they explain how their innovative solution works.

DARPA Goes "Meta" with Machine Learning for Machine Learning

Data-Driven Discovery of Models (D3M) seeks to increase pace of scientific discovery and improve military planning, logistics and intelligence outcomes

Fun LoL to Teach Machines How to Learn More Efficiently

DARPA seeks mathematical framework to characterize fundamental limits of learning

NHL Goal Celebration Hack With A Hue Light Show And Real Time Machine Learning

From François Maillet:

In Montréal this time of year, the city literally stops and everyone starts talking, thinking and dreaming about a single thing: the Stanley Cup Playoffs. Even most of those who don’t normally care the least bit about hockey transform into die hard fans of theMontréal Canadiens, or the Habs like we also call them.

Below is a Youtube clip of the epic goal celebration hack in action. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room... (full article)

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