Scientific American | Springtime for AI: The Rise of Deep Learning

by Yoshua Bengio Learning in Machines & Brains Recommended 12.07.2016

Computers generated a great deal of excitement in the 1950s when they began to beat humans at checkers and to prove math theorems. In the 1960s the hope grew that scientists might soon be able to replicate the human brain in hardware and software and that “artificial intelligence” would soon match human performance on any task…

Read the rest of this Scientific American story, written by Yoshua Bengio, program co-director of CIFAR’s Learning in Machines & Brains program, on scientificamerican.com

 

Leave a Comment

Your email address will not be published.

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

Related Ideas

Learning in Machines & Brains | News

A ‘surprisingly popular’ way to extract group wisdom

Is Philadelphia the capital of Pennsylvania? The answer may surprise you. Even more important, just how many people are surprised...

Learning in Machines & Brains | News

Learning algorithms find a new music teacher

Computers have a new music teacher to help them master the likes of Johann Sebastian Bach and Wolfgang Amadeus Mozart...

Learning in Machines & Brains | Case Study

Making artificial intelligence an everyday reality

One of today’s most exciting areas of artificial intelligence research focuses on “deep learning”. This case study outlines the critical...

Learning in Machines & Brains | Recommended

Scientific American | Springtime for AI: The Rise of Deep Learning

Computers generated a great deal of excitement in the 1950s when they began to beat humans at checkers and to...

Learning in Machines & Brains | News

Computers recognize memorable images

Why do some images stay fixed in our memories, while others quickly fade away? Researchers have developed a deep learning...