qualifier


ARIAC Qualifier 3 is now open

Robohub

We are happy to announce that Qualifier 3 is now open for the Agile Robotics for Industrial Automation Competition (ARIAC)! ARIAC is a simulation-based competition is designed to promote agility in industrial robot systems by utilizing the latest advances in artificial intelligence and robot planning. The goal is to enable industrial robots on the shop floors to be more productive, more autonomous, and to require less time from shop floor workers. You have until May 15, 2017 to submit your results from Qualifier 3 and secure a spot in the final competition, to be held in early June.


Here's why artificial intelligence isn't out to get us

#artificialintelligence

This process runs large data sets through networks set up to mimic the human brain's neural network in order to teach computers to solve specific problems on their own, such as recognizing patterns or identifying a particular object in a photograph. Deep learning is clearly a valuable technology, but we have many other problems to solve in creating artificial intelligence, including reasoning (meaning a machine can understand and not just calculate that 2 2 4), and attaining background knowledge that machines can use to create context. "The one thing that I would say is that when they and Bill Gates--someone I respect enormously--talk about AI turning evil or potential cataclysmic consequences, they always insert a qualifier that says "eventually" or this "could" happen." The one thing that I would say is that when they and Bill Gates--someone I respect enormously--talk about AI turning evil or potential cataclysmic consequences, they always insert a qualifier that says "eventually" or this "could" happen.


Here's why artificial intelligence isn't out to get us

PBS NewsHour

This process runs large data sets through networks set up to mimic the human brain's neural network in order to teach computers to solve specific problems on their own, such as recognizing patterns or identifying a particular object in a photograph. Deep learning is clearly a valuable technology, but we have many other problems to solve in creating artificial intelligence, including reasoning (meaning a machine can understand and not just calculate that 2 2 4), and attaining background knowledge that machines can use to create context. "The one thing that I would say is that when they and Bill Gates--someone I respect enormously--talk about AI turning evil or potential cataclysmic consequences, they always insert a qualifier that says "eventually" or this "could" happen." The one thing that I would say is that when they and Bill Gates--someone I respect enormously--talk about AI turning evil or potential cataclysmic consequences, they always insert a qualifier that says "eventually" or this "could" happen.