Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature: Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors,
New MIT algorithm helps AI systems dodge adversarial inputs; CARRL greencarcongress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from greencarcongress.com Daily Mail and Mail on Sunday newspapers.
Caption: A deep-learning algorithm developed by MIT researchers is designed to help machines navigate in the real world. In tests with the video game Pong, the researchers introduced an “adversary” that pulled the ball slightly further down than it actually was. Credits: Image: Jose-Luis Olivares, MIT Terms of Use: Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided
E-Mail
In a perfect world, what you see is what you get. If this were the case, the job of artificial intelligence systems would be refreshingly straightforward.
Take collision avoidance systems in self-driving cars. If visual input to on-board cameras could be trusted entirely, an AI system could directly map that input to an appropriate action steer right, steer left, or continue straight to avoid hitting a pedestrian that its cameras see in the road.
But what if there s a glitch in the cameras that slightly shifts an image by a few pixels? If the car blindly trusted so-called adversarial inputs, it might take unnecessary and potentially dangerous action.
Algorithm helps artificial intelligence systems dodge adversarial inputs scienceblog.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from scienceblog.com Daily Mail and Mail on Sunday newspapers.