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Quote of the day

When seen through the lens of technology, few resources are truly scarce; they’re mainly inaccessible. 

 

Peter Diamandis

How machine learning will fuel huge innovation over the next 5 years

RATE THIS! +43
Posted in Business on 28th Feb, 2015 09:10 PM by AlexMuller

Machine learning (ML) is a computer’s way of learning from examples, and it’s one of the most useful tools we have for of artificial intelligence. It begins with the design of an algorithm that learns from collected data, creating machines that in most cases become smarter as data volumes grow.

 
We’ve seen a breakthrough in the field of ML in the last five years in part due to the recent wealth of big data streams provided from high-speed internet, cloud computing, and widespread smartphone usage, leading to the birth of the now popular “deep learning” algorithms. Heavily- used applications that have emerged with ML at their core include recommendation systems like those from Netflix and Amazon, face recognition technology as seen in Facebook, email spam filters like those from Google and Microsoft, and speech recognition systems such as Siri.
 
While the depth of advancement is unknown, what we can say with high certainty is that development in this field in the past five years will be nothing compared to what we’re going to see in the five years to come. Based on machine learning’s current state, here are four predictions of what we could see in the near future:
 
Image-Based Recognition: The technology for image and video-based recognition is on the horizon, and with it a whole new experience for users. Thanks to deep learning, we are now at the dawn of computers recognizing images, and the people and actions within them, with high accuracy based on the image alone and with minimum reliance on external data. It’s not just new pictures that will become recognizable either, but the entire history of digitized images and video footage. This will massively change how these assets are located and shared online. 
 
Healthcare: Machine learning’s ability to analyze and store massive amounts of data should provide physicians with much-needed second opinions and lead to the detection and treatment of medical ailments on a mass scale. Packaged as smart, wearable computing devices, personal health monitors that detect various conditions as they arise should become widespread in the next five years,
 
Travel & Communication: By 2020, real-time translation technology may be fully accessible. We’ll see everything from an app on your phone that instantly translates foreign signs and texts to phone conversations that are immediately converted to a listener’s native language, without speakers even knowing the difference.
 
Advertising: Based on recent ML advancements, in just a few short years augmented reality technology should become the commonplace method for integrated branding. This will allow advertisers to seamlessly place products into existing content by properly identifying the depth, relative size, lighting, and shading of the product in comparison to the setting. This essentially makes any historical video property available for integration.
 
So while we have already seen enormous advancements in the fields above of late, a full-scale commercialization of machine learning technologies could be seen as soon as 2020. 

Tags: machine learningdeep learningAIartificial intelligencesoftwarebusiness

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Comments

Author: Guest
Posted: 2015-03-01
+1
By now most if us are convinced that ML could provide a new level in our ability to do almost anything - the question that many are asking is about controlling such powerful AI Reply


 

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