Thursday 21 December 2017

MIT Technology Review/Rachel Metz: The artificial-intelligence expert is on a mission to AI-ify manufacturing, starting with partners like Foxconn.


MIT Technology Review 

Intelligent Machines
Andrew Ng Says Factories Are AI’s Next Frontier
The artificial-intelligence expert is on a mission to AI-ify manufacturing, starting with partners like Foxconn.

    by Rachel Metz December 14, 2017
    Andrew Ng, an AI expert who, among other things, led AI efforts at Google and Baidu, is working on a new startup that will bring AI to manufacturing.

Every day, in factories around the world, thousands of people spend hours squinting at tiny circuit boards and other electronic components, looking for imperfections. It’s painstaking work, and Andrew Ng, a leading artificial-intelligence expert who’s already spent years helping tech giants Google and Baidu spread AI across their companies, thinks computers can do it better.

Ng, formerly the head of AI for Chinese Internet company Baidu and the creator of the deep-learning Google Brain project, is the CEO of a new startup called Landing.AI that will help companies figure out ways to incorporate AI. Specifically, Landing.AI, which is based in Palo Alto, California, and has existed for only about four months, is working with manufacturers—including Foxconn, the world’s largest contract manufacturer and maker of Apple’s iPhones—to figure out how AI can help with product yield and quality control.

Ng has a history of being ahead of the curve when it comes to finding ways to infuse companies with artificial intelligence. So his latest attempt to use AI is a strong signal that manufacturing might be ripe for transformation.
Sign up for the Chain Letter
Blockchains, cryptocurrencies, and why they matter.
Manage your newsletter preferences

Ng says he’s interested in manufacturing in particular because it touches so much of our everyday lives—essentially, he sees it as a way to bring a digital transformation to the physical world.

“There are all these decisions that AI, machine learning, can make in a much more systematic way,” he says.

Ng won’t say exactly how Landing.AI’s technology will be rolled out by Foxconn or other manufacturers on manufacturing lines. But he expects it will include visual inspections, and he says his team has developed a learning algorithm that, after being trained on just a few images, can be used to spot imperfections in small electronic components or camera lenses. And he says Landing.AI believes it understands how to use AI to tune the operations of manufacturing machines such as injection-molding machines.

Willy Shih, a Harvard Business School professor who studies manufacturing and technology, says this kind of AI takeover makes sense for visual inspection, especially as companies like Apple cram more and more electronics into a smaller package. Greater component density leads to yield problems, he points out, as things like tiny solder balls between a chip and a circuit board get even tinier but still must be perfect.

And while there are rising concerns about the potential for AI to automate humans out of jobs, Ng says he hopes to help workers get the skills they need to perform the next wave of manufacturing work. Furthermore, he believes there are plenty of tasks that AI will not be able to replicate, like strategic decisions about where to open up a new manufacturing plant.

Hear more about AI from the experts at the EmTech Digital Conference, March 26-27, 2018 in San Francisco.
Learn more and register

Tagged

Andrew Ng, automation, Apple, iPhone, Foxconn, Google, Baidu, AI, artificial intelligence, manufacturing, EmTech Digital 2018, MIT Technology Review Events, Landing.AI, factories, startups
Rachel Metz

Rachel Metz Senior Editor, Mobile

As MIT Technology Review’s senior editor for mobile, I cover a wide variety of startups and write gadget reviews out of our San Francisco office. I’m curious about tech innovation, and I’m always on the lookout for the next big thing. Before… More
READ 1 COMMENTS
Related Video

More videos

Intelligent Machines
Big Problems, Big Data Solutions 26:21

Intelligent Machines
Robots in Everyday Life 24:22

Intelligent Machines
Robots in Everyday Life, Q&A 13:11
More from Intelligent Machines

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

    Robots Won’t Save the U.K. from a Brexit Labor Shortage

    As many foreign workers are forced out of the country, don’t expect smart machines to clean your office or help out on the farm.

    by Jamie Condliffe
    Why Cognitive Manufacturing Matters in Electronics

    Cognitive computing is transforming manufacturing, integrating systems for optimal output and interpreting data for greater value
    Visual inspection for improved quality in manufacturing

    Identify and manage product defects via cognitive visual inspection to reduce manufacturing labor costs, and improve process throughput and product quality.

More from Intelligent Machines
From Our Advertisers

    In partnership with Couchbase
    The Customer Engagement Revolution

    In partnership with Pure Storage
    Modern Storage Accelerates Data Insights, Speeding Innovation

    Sponsored by VMware
    Network Virtualization: The Bridge to Digital Transformation

    Presented in partnership with VMware
    The Bridge to Digital Transformation: The Move to a Software-Based Network Strategy

Want more award-winning journalism? Subscribe to Insider Basic.

    Insider Basic $29.95/year*

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

       
    See details+

* Prices are for U.S. residents only

See international prices
The Download What's important in technology and innovation, delivered to you every day.

Follow us
Twitter Facebook RSS
MIT Technology Review

The mission of MIT Technology Review is to equip its audiences with the intelligence to understand a world shaped by technology.

Browse
International
Editions

    Company
    Your Account
    Customer Support
    More
    Policies

MIT Technology Review © 2017 v.|eiπ|

No comments: