If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.
Yoshua Bengio is one of the Canadian wizzes who revived the longtime study of neural networks by creating sophisticated versions of this brain-inspired technology now used for image recognition, language understanding and playing championship go. If you want to find out the latest about deep learning, watch Bengio’s presentation to IBM and read his article “Machines Who Learn” in Scientific American’s June issue. Bengio’s article is part of a special report on AI.
It’s Time to Stand Up for Science
If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in that two-century history.
I’ve been a Scientific American subscriber since I was 12 years old, and it helped shape the way I look at the world. SciAm always educates and delights me, and inspires a sense of awe for our vast, beautiful universe. I hope it does that for you, too.
If you subscribe to Scientific American, you help ensure that our coverage is centered on meaningful research and discovery; that we have the resources to report on the decisions that threaten labs across the U.S.; and that we support both budding and working scientists at a time when the value of science itself too often goes unrecognized.