You are the content you publish.
Sign up with Facebook
Sign up with Twitter
I don't have a Facebook or a Twitter account
Start a free trial of Scoop.it Business
Stanford researchers, working with Google and NVIDIA, have created a new neural network system for machine learning that is six times the size of the unit built last year that taught itself how to recognize cats on the internet.
I think we are seeing consciousness merge with technology at a much more rapid page than is being predicted. Mind directed technology, images from the mind, robotics, and computer neural networks are coming together rapidly.
Are you sure you want to delete this scoop?
"Machine learning, a fast-growing branch of the artificial intelligence (AI) field, is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, effective web search and a vastly improved understanding of the human genome. Many researchers believe that it is the best way to make progress towards human-level AI."
As researchers work on these model systems of neural networks, they contribute to our understanding of our brains - how information is gathered (sensed), stored (memory), accessed and employed (thought).
"This is all still very low compared to the human brain, with some 100 trillion connections, but at this rate of amplification it won't be long until AIs are at the capacity of human-level intelligence." Μπορούμε να κοιμόμαστε ήσυχοι για λίγο ακόμα...