What Leading AI, Machine Learning And Robotics Scientists Say About The Future

Jason Lim for Forbes:  Every year there is a new hot topic in tech. Today, it’s all about artificial intelligence, machine learning, virtual reality and autonomous vehicles. The difference between now and the past is that everything is becoming interconnected at a faster rate.

We are entering an extremely critical time in history where society will change dramatically – how we work, live and play. Science fiction is morphing into reality. Flying cars exist, cars that drive themselves are on the road, and artificial intelligence that automates our lives is here.

To make all of this amazing science and technology happen, it takes some extremely intelligent and curious people. In many ways, scientists are still at the helm of discovering breakthroughs through research.   Cont'd...

Japanese Robotics Giant Gives Its Arms Some Brains

Will Knight for MIT Technology Review:  The big, dumb, monotonous industrial robots found in many factories could soon be quite a bit smarter, thanks to the introduction of machine-learning skills that are moving out of research labs at a fast pace. Fanuc, one of the world’s largest makers of industrial robots, announced that it will work with Nvidia, a Silicon Valley chipmaker that specializes in artificial intelligence, to add learning capabilities to its products.

The deal is important because it shows how recent advances in AI are poised to overhaul the manufacturing industry. Today’s industrial bots are typically programmed to do a single job very precisely and accurately. But each time a production run changes, the robots then need to be reprogrammed from scratch, which takes time and technical expertise.  Cont'd...

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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