Google Sets Up New ‘Quantum Artificial Intelligence Lab’ at NASA’s Ames Research Centre


By: Ali Raza  |   May 17th, 2013   |   Living, News

In order to sort out some of the most difficult computer science issues and to improve its products and society at large, Google has set up a new lab at Ames Research Centre of NASA where experts will study quantum computing that might help them find solutions for problems. This brand new lab from Google is called the ‘Quantum Artificial Intelligence Lab’. Explaining the purpose of the lab, scientist and Director of Engineering at Google, Hartmut Neven revealed in a blog post that it will be used to study how quantum computing might assist in learning specifically about advance machines.

Google’s Director of Engineering stated in a blog post that:

 

“Machine learning is all about building better models of the world to make more accurate predictions.

 

If we want to cure diseases, we need better models of how they develop. If we want to create effective environmental policies, we need better models of what’s happening to our climate.

 

And if we want to build a more useful search engine, we need to better understand spoken questions and what’s on the web so you get the best answer.”

 

Although the company’s search engine is the actual money maker for Google, the new ‘Quantum Artificial Intelligence Lab’ was set up for a broader purpose rather than simply finding ways for improving or maintaining the bottom line of the company. It is because of this very reason both the Universities Space Research Association (USRA) and Google will ask researchers from different parts of the world to visit the lab and spend some time on a quantum computer of D-Wave Systems that will be at the hub of the new laboratory.

 

The company also made it known that researchers will be able to get their hands on its 512-qubit quantum computer in the third quarter of this year.

Neven wrote in his post that, “We’ve already developed some quantum machine learning algorithms. One produces very compact, efficient recognizers — very useful when you’re short on power, as on a mobile device. Another can handle highly polluted training data, where a high percentage of the examples are mislabeled, as they often are in the real world.”

 

He also divulged that the lab will be used to learn whether invited scientists and Google can push a few ideas from hypothesis to practice.

The issue of quantum hardware will also be explored and the scientist says that, “We hope it helps researchers construct more efficient and more accurate models for everything from speech recognition, to web search, to protein folding. We actually think quantum machine learning may provide the most creative problem-solving process under the known laws of physics.”

 

Source: TNW

Photo: Flickr

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