Google’s adversarial AIs could lead to less reliance on real-world data

 One of the biggest challenges facing the development of AI is that it requires a huge amount of human input, both in terms of the involvement of people when it comes to identifying and inputting data up front, and in terms of the nature of data sets required to even make training AI systems possible to begin with. Google AI research Ian Goodfellow, who recently headed back to Google Brain after… Read More

from TechCrunch