Hello,

We noticed you're browsing in private or incognito mode.

To continue reading this article, please exit incognito mode or log in.

Not an Insider? Subscribe now for unlimited access to online articles.

Intelligent Machines

The Memory Trick Making Computers Seem Smarter

One startup’s approach to teaching computers to learn shows the value of applying new ideas to machine learning.

After several decades in the doldrums, AI is experiencing quite a renaissance. In recent years, amazing progress has been made using so-called deep learning, training algorithms with large amounts of data so that they can recognize subtle patterns. Such approaches have enabled computers to recognize faces in an image or the text of speech, often with eerily human accuracy.

It’s becoming clear, however, that fundamentally new approaches will be needed if machines are to go demonstrate more meaningful intelligence. One technique, being applied by a Silicon Valley startup called MetaMind, shows how adding novel memory capabilities to deep learning can produce impressive results when it comes to answering questions about the content of images. The company was founded by Richard Socher, a machine-learning expert who left an academic post at Stanford to found the company.

Socher’s creation uses what it calls a dynamic memory network (DMN) to enable computers to infer useful things from various inputs. These let a deep-learning system store and update facts as it parses more information. Previously the company showed how its system can feed on different sentences and figure out how to answer some fairly sophisticated questions that require inference. This ability has now been applied to answering questions about the contents of images.

Richard Socher, founder of MetaMind.

As a piece on MetaMind in the New York Times explains, the results are quite basic, and nothing like as sophisticated as a human’s ability to understand what’s going on in images. But the technology shows how new approaches, especially ones that take inspiration from the way memory seems to work in biological brains, may hold the key to the next big step forward in AI.

(Read more: New York Times, “Computers Are Getting a Dose of Common Sense,” “Teaching Machines to Understand Us,” “Next Big Test for AI: Making Sense of the World”)

Keep up with the latest in machine learning at EmTech Digital.
Don't be left behind.

March 25-26, 2019
San Francisco, CA

Register now
Richard Socher, founder of MetaMind.
More from Intelligent Machines

Artificial intelligence and robots are transforming how we work and live.

Want more award-winning journalism? Subscribe to Insider Basic.
  • Insider Basic {! insider.prices.basic !}*

    {! insider.display.menuOptionsLabel !}

    Six issues of our award winning print magazine, unlimited online access plus The Download with the top tech stories delivered daily to your inbox.

    See details+

    Print Magazine (6 bi-monthly issues)

    Unlimited online access including all articles, multimedia, and more

    The Download newsletter with top tech stories delivered daily to your inbox

/3
You've read of three free articles this month. for unlimited online access. You've read of three free articles this month. for unlimited online access. This is your last free article this month. for unlimited online access. You've read all your free articles this month. for unlimited online access. You've read of three free articles this month. for more, or for unlimited online access. for two more free articles, or for unlimited online access.