Tuesday July 23, 2019
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Smart phone era ends, its time for Intelligent Phones

The mode of communication changed altogether with the arrival of mobile phones in our lives. It got wider and more meaningful once the world was exposed to smartphones.

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Intelligent phones
Many phones that are launched recently are more than a smartphone. Flickr

The mode of communication changed altogether with the arrival of mobile phones in our lives. It got wider and more meaningful once the world was exposed to smartphones.

However, changing technology parameters and fundamentals are calling for yet another disruption in the communication space — this time with Intelligent Phones.

Smart is not necessarily intelligent but intelligent is always smart. By this definition, today’s smartphones are not necessarily intelligent devices.

Here is why:-

A smartphone lets us do myriad of things in ways that bring efficiency, effectiveness and productivity in our lives — such as workplace communication.

With smartphones, we have been able to not only manage e-mails promptly but also connect seamlessly with people and friends on real-time platforms like WhatsApp that are more informal but quick and effective means to make critical decisions in a highly-competitive world.

Now, Artificial Intelligence (AI) is set to play an integral role in making the smartphones of the future.

Algorithm-based intelligence has already begun to percolate in premium smartphones. As adoption and usage evolve, AI will soon become a rudimentary thing in smartphones.

However, the present approach is about finding areas where AI has usage as stand-alone technology and for convenience, integrating it with smartphones makes it user-friendly. This, however, is not going to make the smartphone intelligent; it will only make them super or extra-smart — capable of doing more things.

An Intelligent Phone, however, is one which will have “thinking” capabilities and decide the next course based on the user’s preferences and priorities.

For instance, we now have several advanced capabilities in smartphones — but there are manual interventions that we, as users, have to apply, like enabling and disabling network capabilities. Why shouldn’t the smartphone be intelligent enough to decide which network capability to enable or disable based on usage?

Right now, if Wi-Fi is enabled, the cellular data goes into hibernation. Why can’t the phone decide which one to use based on several criteria like cost of data, application being used, type of data being accessed and so on?

If a user gets into a car, the smartphone should be intelligent enough to decipher through AI and connect to the audio system via Bluetooth. Similarly, the airplane mode should be enabled while someone is airborne.

All these may sound too basic as capabilities. These will not only bring comfort for the user but also have implications on battery consumption as well as in ensuring that there are no “loopholes” enabled which may not be in use in the device.

Smartphones have focused primarily on the applications and features they can support. It has not evolved to communicate better with the user as per his or her preferences and priorities.

One hindrance was the evolutionary phase of AI; but since AI has now become a reality, the device should add intelligence and move beyond applications and functionality. As the smartphone industry looks for innovation in a market that is near its saturation point, the Intelligent Phone could be a saviour for the industry. It could rejuvenate consumer interest and, hence, the market itself.

Next Story

Researchers Develop AI-driven System to Curb ‘Deepfake’ Videos

Roy-Chowdhury, however, thinks we still have a long way to go before automated tools can detect “deepfake” videos in the wild

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Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

At a time when “deepfake” videos become a new threat to users’ privacy, a team of Indian-origin researchers has developed Artificial Intelligence (AI)-driven deep neural network that can identify manipulated images at the pixel level with high precision.

Realistic videos that map the facial expressions of one person onto those of another — known as “deepfakes”, present a formidable political weapon in the hands of nation-state bad actors.

Led by Amit Roy-Chowdhury, professor of electrical and computer engineering at the University of California, Riverside, the team is currently working on still images but this can help them detect “deepfake” videos.

“We trained the system to distinguish between manipulated and nonmanipulated images and now if you give it a new image, it is able to provide a probability that that image is manipulated or not, and to localize the region of the image where the manipulation occurred,” said Roy-Chowdhury.

A deep neural network is what AI researchers call computer systems that have been trained to do specific tasks, in this case, recognize altered images.

These networks are organized in connected layers; “architecture” refers to the number of layers and structure of the connections between them.

While this might fool the naked eye, when examined pixel by pixel, the boundaries of the inserted object are different.

For example, they are often smoother than the natural objects.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

By detecting boundaries of inserted and removed objects, a computer should be able to identify altered images.

The researchers tested the neural network with a set of images it had never seen before, and it detected the altered ones most of the time. It even spotted the manipulated region.

“If you can understand the characteristics in a still image, in a video it’s basically just putting still images together one after another,” explained Roy-Chowdhury in a paper published in the journal IEEE Transactions on Image Processing.

“The more fundamental challenge is probably figuring out whether a frame in a video is manipulated or not”.

Also Read: TikTok Testing New Features Inspired by Instagram

Even a single manipulated frame would raise a red flag.

Roy-Chowdhury, however, thinks we still have a long way to go before automated tools can detect “deepfake” videos in the wild.

“This is kind of a cat and mouse game. This whole area of cybersecurity is in some ways trying to find better defense mechanisms, but then the attacker also finds better mechanisms.” (IANS)