Google Buys Machine Learning Startup Moodstocks - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Data Management // Big Data Analytics
News
7/7/2016
09:06 AM
Connect Directly
Twitter
RSS
E-Mail

Google Buys Machine Learning Startup Moodstocks

Google has acquired Paris-based machine learning startup Moodstocks as part of its ongoing effort to improve visual recognition technology.

(Image: maybefalse/iStockphoto)

(Image: maybefalse/iStockphoto)

Comment  | 
Print  | 
Comments
Newest First  |  Oldest First  |  Threaded View
Charlie Babcock
50%
50%
Charlie Babcock,
User Rank: Author
7/7/2016 | 6:31:37 PM
Needed: multiple centers of image understanding, analysis
IBM uses Watson machine learning to analyze thousands of X-ray images so that it can come up with a diagnosis of a patient image. But there's still much work to be done for computers to draw the correct conclusions from images presented to them versus the more linear processing of data. http://www.informationweek.com/cloud/software-as-a-service/ibm-cognitive-colloquium-spotlights-uncovering-dark-data/d/d-id/1322647?page_number=1 Hopefully, there will be multiple centers of computer science devoted to accomplishing cognitive recognition of what's in images. 
Commentary
Enterprise Guide to Edge Computing
Cathleen Gagne, Managing Editor, InformationWeek,  10/15/2019
News
Rethinking IT: Tech Investments that Drive Business Growth
Jessica Davis, Senior Editor, Enterprise Apps,  10/3/2019
Slideshows
IT Careers: 12 Job Skills in Demand for 2020
Cynthia Harvey, Freelance Journalist, InformationWeek,  10/1/2019
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
Getting Started With Emerging Technologies
Looking to help your enterprise IT team ease the stress of putting new/emerging technologies such as AI, machine learning and IoT to work for their organizations? There are a few ways to get off on the right foot. In this report we share some expert advice on how to approach some of these seemingly daunting tech challenges.
Slideshows
Flash Poll