Researchers from North Carolina State University created a test system with AI and gave it the capability to modify the composition of its own neural network. When choosing between identical artificial neurons and more diverse neurons, the AI chose diversity, and the diversity-based AI was up to 10 times more accurate than conventional AI in solving more complicated problems. Check out this latest research.
An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.
Introspective AI Finds Diversity Improves Performance miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
An introspective AI finds diversity improves performance sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.