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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.
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"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...