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iPhone 8 – Everything you need to know about Apple’s latest

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iPhone 8, everything you need to know about Apple’s latest product. Check out the short video made just for you:

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Also check outNSA has been spying on Pakistani mobile networks

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The Rise of Machine Learning

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It’s the time of the year where the world is bombarded with predictions for the following year. But rather than talking about various predictions, we’ll focus on the one that we believe will have a broad long-term affect: Machine Learning.

 The use of machine learning (ML) will grow rapidly across all aspects of cyber security. With recent advances in technology using machine learning is no longer a dream, or confined to certain aspects such as academics. Rather, ML is fast becoming stereotypical, with open-source and commercial offerings targeted toward cyber defense. Massive compute and storage capacity at affordable prices and infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) offerings are making Machine Learning solutions more affordable and easier to install.

More importantly, the algorithms that revolve around machine learning, focused around supervised and unsupervised Machine learning and the tool-kits, are rapidly advancing in capability and maturity, particularly in the finance sector. With the availability of user-friendly tool-kits, APIs and third-party integrations, the use of massive parallel graphics processing unit (GPU) systems in Machine Learning-based computation is now becoming mainstream. In the light of these advances, threat intelligence researchers and technological companies hope to use ML-based solutions as a way to tackle cyber threats and build more accurate baselines into normal behavior and surface anomalies.

The Key to the success of this is access to relevant and targeted training data that is used for supervised and unsupervised Machine Learning. Here, too, the content-rich network traffic data and metadata, which were extremely hard to come by, are now becoming easily available. This is one promising and long-term trend that can significantly advance cyber defense.

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India to become the 2nd largest smartphone market by 2019

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India to become the 2nd largest phone market by 2019

India is one of world’s top countries when it comes to IT and so the possibility that India could surpass the US to take up the second spot in terms of smartphone users has been predicted for a while now. China still sits on top of the world in the smartphone market though.

India is anticipated to grab almost 15 percent of the world’s smartphone market share, while the US will drop down to third place with a market share of 10 percent. China, which currently has a 31 percent market share, is expected to remain number one.

India to become the 2nd largest phone market by 2019

© Statista


India’s population (well over 1 billion) is the most decisive factor in the ever-increasing demand for smartphones and plus the availability of affordable devices from Chinese companies such Xiaomi, Oppo, Vivo and many others sky-rocket it well past the US or any other country for that matter.

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The demand for smartphones is also expected to increase in other emerging markets as well like Brazil, for example. That’s why more and more manufacturers are trying to increase their presence in these markets. Xiaomi, for example, has opened a second factory in India, said to be capable of producing one smartphone per second during operational hours. Samsung also sees a bright future in India and has recently announced its plan to double the size of its existing production plant in the country.

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Amazon Introduces New Selfie Device: Echo Look

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Want to know how you look? Just ask Amazon’s new fashion selfie device Echo look.

On Wednesday, Amazon quietly unveiled the new voice activated, hands-free camera and it’s pitching as the first “artificial style assistant”. Like other Echo devices, the Echo Look is voice-activated, powered by the Alexa digital assistant, and it does everything the current Alexa can do, including controlling other smart home devices and answering questions about the weather, news, and your schedule.

This though can also control the device’s integrated camera with, “Alexa, take a photo.”No more standing in front of the mirror and shooting a selfie or overextending your arm to capture an image of your blouse and skirt or pants and shirt. According to the Amazon’s video, you just step back a few feet and tell Echo Look to take a full-length photo.

The 5-megapixel camera sits in the middle of a circular LED flash, and there’s depth-sensing to keep the subject in focus and let you blur the background for better selfies. Although the resolution is pretty low, but Amazon says they optimized the camera so images can be shared easily and sent quickly to Echo Look’s style checker.

The viewfinder for your photos is your smartphone, where you see the live view, take the snapshot or grab a short video (also with voice command) so you can see your fashion choices from all sides. Amazon is also taking the whole fashion consultant thing a bit further, integrating machine learning and AI into the system with Style Check, so you can get feedback on your look without turning to your partner, spouse or friends.

Just try on two different outfits, as long as they are in the Echo look system and then let the device do all the work for you, based on the AI, fashion trends and, according to Amazon, “what flatters you.”

With the booming online fashion industry and people taking billions of selfies, Amazon has played a smart move, putting it in the center of it all.

At $199.99, the Amazon Echo Look, which is currently available by invitation only, is one of the more expensive Echo devices. The cheapest one is the tiny, $50 Echo Dot.

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