<div class="image-container hidden_link" style="width:400px"><div class="image"><a href="http://www.businessinsider.com/blackboard/google"><img class="float_right" src="http://static2.businessinsider.com/image/5137c25beab8ea097e00000b-4310-3232/sergey-brin-and-google-glass.jpg?maxX=400&amp;maxY=300" border="0" alt="sergey brin and google glass" width="400" height="300" /></a></div>AP Images</div><keyword id="6355629" type="CITY" weightage="60" keywordseo="Google">Google</keyword> has bought a three-person Canadian startup, <keyword id="1758206" type="UNKNOWN" weightage="60" keywordseo="DNNresearch">DNNresearch</keyword>, based in Toronto, <a href="http://www.techvibes.com/blog/google-acquires-neural-networks-2013-03-12">TechVibes reports</a>.
The "DNN" in its name stands for "<keyword id="1758207" type="UNKNOWN" weightage="60" keywordseo="Deep-Neural-Networks">deep neural networks</keyword>." That's a contemporary approach to designing artificially intelligent systems which requires less work to "train" the systems.
Google archrival Microsoft has already rolled out <a href="http://blogs.technet.com/b/inside_microsoft_research/archive/2012/06/14/deep-neural-network-speech-recognition-debuts.aspx">deep-neural-network technology in some of its audio- and video-indexing systems</a>.
DNNresearch is led by Geoffrey Hinton, a professor at the University of Toronto who will split time between the university and Google's Toronto office and Mountain View, Calif. headquarters. Two of Hinton’s graduate students, Alex Krizhevsky and Ilya Sutskever, will relocate to California. Google had previously backed their research with a $600,000 grant, TechVibes reports.
Where their technology, which delivers improved recognition of nearby objects and images, could come in handy is with Google Glass, the experimental Internet-connected headset, and Google Now, Google's predictive-assistance technology which attempts to deliver answers without forcing users to enter queries.
In other words, Google's already pretty smart—but deep-neural-network techniques could make it far, far smarter.

Google Has Bought A Startup To Help It Recognize Voices And Objects

<img class="gwt-Image" src="/photo/54780042.cms" />Artificial Intelligence is continually pushing the boundaries of what machines are capable of. But could machines ever turn out to be superior beings to us? The answer is obviously 'yes', at least in numerous things where our brains used to be the unchallenged champion of creativity and intelligence. 
 First, <keyword id="6355629" type="CITY" weightage="60" keywordseo="Google">Google</keyword> acquired a startup called DNNresearch , snapping a portion of the world's principal experts in a prospering field of artificial intelligence known as deep learning. Much like Facebook, <keyword id="10387" type="CITY" weightage="60" keywordseo="Microsoft">Microsoft</keyword>, and others, Google sees deep learning as the future of AI on the web, a superior method for taking care of everything from voice and image recognition to language translation. One such software is <keyword id="3735202" type="UNKNOWN" weightage="20" keywordseo="Clarifai">Clarifai</keyword>, an AI powered image and video recognising software. 
 
What is Clarifai? 
 At that point came Clarifai, an artificial intelligence company that works in visual recognition, tackling true issues for organizations and developers alike. Established by <keyword id="3735201" type="UNKNOWN" weightage="20" keywordseo="matthew-zeiler">Matthew Zeiler</keyword>, an expert in machine learning, Clarafai predicts more than 1.2 billion concepts in photos and videos consistently. Its image and video recognition technology is based on machine learning systems and open with a clean API, engaging developers everywhere throughout the world to create the next gen of apps. 
 
To put it plainly, it's a software that will help you find photos—whether they're on your mobile phone, a dating website, or on a corporate network and it will offer this software to a wide range of different companies that need to move it into their own particular online services. 
 
You can educate its image recognition framework on as few as 10 information cases with no coding necessary. You can refine the parameters with more manual controls. You can train an AI model to perceive shoes, for case, by tagging a couple Nike shoes, you can teach it to recognise Nikes. This could be the magic candy for eCommerce portals. 
 
The company has already lapped up some pretty heavyset <keyword id="6362476" type="ORGANIZATION" weightage="20" keywordseo="investments">Investments</keyword> already 
 Clarifai raised a $10 million Series A in 2015 led by <keyword id="1196785" type="COMPANY" weightage="20" keywordseo="Union-Square-Ventures">Union Square Ventures</keyword>, along with new investors Lux Capital and Osage University Partners. Existing investors Google Ventures, <keyword id="104695" type="CITY" weightage="20" keywordseo="Qualcomm">Qualcomm</keyword> Ventures, <keyword id="113675" type="COMPANY" weightage="20" keywordseo="nVidia">NVIDIA</keyword> Ventures, Corazon Capital, LDV Capital and New York University also participated in that round. 
 
 (<a href="http://i2.cdn.turner.com/money/dam/assets/150610153029-upstarts-clarifai-1100x619.jpg">Image Source</a>)

You Searched For "DNNresearch" and got 2 results

Google Has Bought A Startup To Help It Recognize Voices And Objects

Owen Thomas

This AI enabled software could prove godsend for eCommerce portals

Gaurav Sangwani