But I agree with your reader, Dan Kimberg, in that the magic is in the machine learning software, not the hardware components.
The sharing of machine learning enables the protection of the rest of the system before they get hit.
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The second case is machine learning where the software applications are taught to anticipate consumer needs and respond to them quickly.
The community is made up of three sub-sets, says Goldbloom: the Silicon Valley hacker community, the applied statistics community, and the applied machine learning community.
Antonio Criminsi of the Machine Learning and Perception group - the team which in effect invented the visual recognition system of Kinect - demonstrated how Kinect's underlying technology can be adapted for medical diagnosis.
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Like the folkloric John Henry and the steam engine, the contest drew machine learning experts from leading academic and private research firms and the attention of publications like The New York Times and Forbes.
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And with advances in big data, he sees that as a possibility - he compares the management of big data combined with machine learning with the shipping container revolution in transportation.
The company uses machine-learning algorithms to suggest apps with the highest potential relevance to users up to an exact percentage.
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The combination of advertising-supported content and machine learning creates the potential for the kind of highly targetable environment that marketers have been dreaming of.
The company combines algorithmic machine learning with user-curated content to connect affinity to anything on the Web, from fashion to food trucks.
The service uses machine learning to make specialized recommendations to people based on what people with similar tastes like.
Microsoft suspects the tech could also pick up the pace of machine learning and churn through large data sets in a jiffy.
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AgilOne is a cloud-based analytics company whose mission is to help other companies get more value out of their customers and their marketing spend through the use of machine learning algorithms.
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Microsoft, according to Quentin Hardy of The New York Times, is also into machine learning, promising to incorporate it in the near future in mainstream products such as Excel and Outlook.
The service draws on machine learning, data mining and predictive modeling to make its suggestions.
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Then of course the process of propagating machine learning about that weakness can go on, and as new threats are understood your petri dishes get better, your anomaly analyses get better and you just move on forward that way.
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The Southampton researchers have now developed 'machine learning' traffic control computers that can learn how to control the lights like a human would and even learn their own improved strategies through experience.
As the models of reality embedded in our applications get more complex and detailed, machine learning is needed to sort out the high resolution view and the thousands of opportunities that can be recognized to take action.
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Machine learning distills the raw information about the behavior of each individual customer and creates associations that are accurate, but general enough that a campaign based on those associations has a good chance of success with a substantial group of people.
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Because of the volume, level of detail, and amount of noise in external big data, machine learning techniques will be required close to the data.
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They are using what used to be called artificial intelligence and is now referred to as machine learning to explore the relationships between the two.
For those businesses leveraging curated content, the use of artificial intelligence and machine learning will be a competitive advantage as more data and behavior points are made accessible.
Lieberman and colleagues are using their machine learning techniques on the MTV-partnered website "A Thin Line, " where anyone can write in their stories of cyberbullying, read about different forms of online disrespect, and find resources for getting help.
The system is also designed to handle machine learning applications.
In most cases, the systems involve customized algorithms based on machine-learning methods.
Ford is looking at sensors, machine learning, and big data as the future.
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At AgilOne, Artun has created a general purpose infrastructure that uses machine learning to achieve goals similar to the ones just described.
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Educational institutions are setting up certification programs and new degrees under names like data science, decision sciences and machine learning, which may help ease the shortage.
You may need to use a machine learning model to help you understand how the churn rate relates to various other indicators.
Professor Stephen Cox, head of the speech processing laboratory at the University of East Anglia and scientific adviser to the project, said the technology was made possible due to advances in machine-learning algorithms.
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