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LTE-A Explained

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A few weeks ago, I was lounging on a beach chair in Boracay Island in the Philippines, sipping on a mojito and enjoying crazy fast mobile internet speeds of about 200 megabits per second.

For the uninitiated, at 200 Mbps, you can download the original Iron Man movie in high def, or the popular racing game Need For Speed in well under 2 minutes.

Not that the average joe constantly needs to download large apps or movies while out and about. But the promise of LTE-A is an internet experience that’s free from waiting – YouTube videos that don’t buffer, web pages that load in a snap, and hiccup-free FaceTime calls.

It’s almost cruel that this alternate reality, this internet utopia, exists on this tiny little island. But that’s the point; because it is both a relatively small land mass and one that’s heavily frequented by local and foreign tourists, the paradise island of Boracay is the perfect test case for what eventually should roll out to the entire archipelago.

If all goes according to plan (and promise) the wait won’t be too long. Smart Communications, the telco behind the Boracay experiment says LTE-A will become a reality for Filipinos within a year and a few months. Users in Australia, the US, South Korea and Turkey already enjoy LTE-A speeds.

A few years back, while living in Seoul for a few months, I would get faster data speeds on my smartphone than I did in my apartment. And that’s saying a lot considering, South Korea enjoys some of the fastest internet speeds in the world.

So what does LTE-A mean? How does it work? And how is it able to deliver super fast mobile internet speeds

The secret sauce behind LTE-A is technology called carrier aggregation. But for you to understand this better, it’s important to first understand how data is transferred from the internet through cell towers to your phones.

Every time you access the internet to download a new instant message, stream a Spotify track, song or watch a video on Facebook data – it’s like transferring cargo from point A to point B. Trucks pick up the cargo and drive them down a single lane highway to their destination.

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Imagine each truck carried 100 megabytes of data. You’d need 30 trucks to make up 3GB, the average size of a Full HD movie.

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It will take a while for 30 trucks travel from point A to point B on a single lane highway.

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But imagine if there were 5 lanes –  more trucks could travel at the same time, and at a faster speed, allowing all 30 trucks to get to the destination sooner.

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That’s exactly how carrier aggregation on LTE-A works. Using multiple LTE bands (up to 5 in theory, 3 on Smart’s LTE-A network) data is transferred to your smartphone simultaneously. Smartphones that support LTE-A have multiple antennas for receiving multiple data streams from multiple signals.

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LTE-A promises theoretical speeds of up to 1Gbps. That’s insanely fast. Here’s to hoping that soon it will become a reality for everyone.

Editor’s Note: As is always the case, I expect a bit of backlash from the consumer public – why tease the next big thing in mobile internet when LTE speeds aren’t even that great yet, and let’s not get started on the data capping debate. Both are important issues that deserve attention and discussion –  but it should not distract from the fact that the technology exists, and if implemented properly is something that can improve lives.

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Play more, charge less: Huawei’s GPU Turbo explained

Better visuals without sacrificing battery life?

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Aside from using your phone to call, text, and take pictures, you now have the power to access the internet and play games with others. Instead of limiting yourself to Snake and Bounce, you now have online games such as PUBG Mobile and Mobile Legends.

There’s just one problem: Not all games are playable across all smartphones. With the gaming world now expanding to the mobile scene, you would need a smartphone with the latest hardware and software inside it. Even if that’s not the case, you would need a smartphone that can handle long hours of gaming, as well. It’s an intense fight over what matters to you the most: performance versus efficiency.

Fortunately, the choice shouldn’t be very difficult thanks to Huawei’s latest mobile advancement: GPU Turbo.

What’s GPU Turbo all about?

GPU Turbo processing technology aims to enhance the gaming experience across Huawei’s smartphones. Executives promise that the tech will boost gaming performance while maintaining the phone’s efficiency. This means you can play games on your smartphone without sacrificing much — like battery life, for example.

The technology looks at the graphical capabilities of your phone and adjusts it accordingly, especially for gaming. With GPU Turbo, technologies such as 4D gaming and both augmented and virtual reality (AR and VR) are taken care of. Huawei believes that GPU Turbo will boost graphical performance by 60 percent, and can make even budget phones play graphically intensive games.

Apart from boosting visual performance, GPU Turbo also enables smartphones to maximize efficiency. One common problem across all smartphones is that the battery depletes relatively fast while you’re gaming. Partner that with a non-effective cooling solution within the phone, and it’s basically device overkill when playing games. What GPU Turbo does is extend your phone’s battery life by 30 percent and keep your device relatively cool while playing.

Implications on Huawei Smartphones

One of the key insights Huawei executives received was about consumer demand for a smoother mobile gaming experience. Because people want to play the latest mobile games seamlessly, they would want to buy smartphones that are capable of doing so. Graphical performance should not suffer in the slightest, especially for multiplayer online battle arena (MOBA) and battle royale games.

The fun doesn’t stop there: With Huawei smartphones supporting GPU Turbo, other technologies such as AR and VR get a chance to truly shine. Huawei executives claim that GPU Turbo opens up opportunities for innovations like online shopping through AR or telemedicine through VR. At this rate, in theory, you could have a truly complete smartphone experience on your hands.

As of writing, GPU Turbo will take effect Huawei’s latest smartphones like the new Huawei Nova 3 series. However, older smartphones supported by the latest EMUI will experience the upgrade, as well. (View the list here.)

If you’ve been dying to have the full mobile gaming experience, GPU Turbo is definitely something to watch out for.

Illustrations by MJ Jucutan

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The future for all games: Ray Tracing explained

The magic behind NVIDIA’s RTX series

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NVIDIA seemed to have struck gold with the announcement of their brand new graphics cards for gamers. These cards are set to bring the gaming world into unparalleled heights thanks to the technologies behind them. The company calls them the RTX series, and the biggest feature within these graphics cards is real-time, ray tracing technology.

But, what is ray tracing technology? What is it about this technology that had NVIDIA wanting to produce a new line of cards to house it? Will it really change the gaming experience as a whole?

Ray tracing in a nutshell

Ray tracing is a rendering technique that uses rays of light to project images or objects onto your screen. These rays of light determine the colors, reflections, refractions, and shadows that the objects possess. These also show more accurate, more realistic images as the rays trace back to any source of light in the surrounding. To put it simply, ray tracing is what happens when you could take a picture of anything around you with your eyes.

The technology isn’t that new; in fact, it has been used since the 1960s for movies and television. Ray tracing is the main proponent behind CGI, where most special effects are often rendered to recreate realistic backgrounds with accurate coloring. In 2008, Intel showed a demonstration of the game Enemy Territory: Quake Wars that used ray tracing powered by a Xeon Tigerton processor. Currently, there are applications that allow you to edit videos using ray tracing such as Adobe’s After Effects.

Shifting from rasterization to ray tracing

For the longest time, NVIDIA has worked with multiple companies to produce game-grade graphics cards for consumers. The main technology behind these graphics cards is rasterization. In a nutshell, rasterization creates shapes to outline certain elements during gameplay. These shapes are given various colors to mimic reflections and shadows produced by such objects. The technology does not use up too much processing power to produce high-quality images for games. Rasterization enables gamers to play at smoother frame rates while getting the best and most realistic image quality.

However, NVIDIA wanted to take things up a notch when producing the next generation of graphics cards for the modern-day gamer. The company wanted to improve the gaming experience by any means, thus bringing in ray tracing in their graphics cards. With ray tracing, colors are more accurate allowing for a more immersive gaming experience — at least that’s how the company explains it. This is clearly seen with their exclusive gameplay of Shadow of the Tomb Raider:

This technology became the backbone for their new RTX graphics cards, putting much emphasis on real-time interactions within games. The RTX graphics cards possess greater memory capacity and processing speeds to keep up with the demands of the technology inside it. With NVIDIA’s Turing architecture, these new cards make the ray tracing processes much faster while using less computations.

Risks of going for ray tracing

Of course, with new technologies comes risks to consider before buying into them. First, ray tracing heavily relies on multiple calculations to generate accurate images on your screen. Back then, computers and graphics cards were not powerful enough to produce quality images immediately using ray tracing. Production of such images can take days to possibly weeks or months, as seen with most movies that heavily rely on CGI.

When applying ray tracing technology to modern games, graphics cards tend to suffer more. The computational requirement for ray tracing is much more than the graphics card’s virtual memory (VRAM) could handle. Of course, it depends on how much RAM is included in your graphics card — even then, it would consume more energy than it’s optimized for. These are the risks that NVIDIA is constantly trying to address with their new RTX cards.

There is still a lot of work needed to prove that ray tracing is the future for gaming. While the technology wants to bring to you the most immersive gaming experience ever, it also comes with a heavy cost — not just on your wallet. Let’s hope that the RTX series is worth the wait.

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The importance of artificial intelligence in smartphones

Is this still the future of technology?

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Have you ever wondered what smartphone brands actually mean when they tell you that their cameras use artificial intelligence (AI)?

With AI now becoming a significant part of our daily lives, we start to look into how this technology found its way into the market, and see whether or not AI truly is the future.

What is Artificial Intelligence?

Artificial intelligence, or AI for short, is a not-so-fairly new concept in the world of technology. What it basically means is that machines are given human-like intelligence through a system of information and programs or applications that are built into machines.

Machines with AI built inside can perform a variety of tasks mostly observed through human intuition like problem solving, gathering knowledge, and logical reasoning — among others. It’s basically making machines smarter and, in a way, more human-like.

Illustrations by Kimchi Lee

AI has been a part of many devices over the past few years, from smart homes to applications on your smartphone. Companies like Amazon and Google have come up with smart home devices that assist people with their day-to-day tasks such as Alexa and Google Assistant.

Businesses with online presence through company websites have also integrated chat boxes and online assistance bots that automatically answer any customer concerns depending on the information given.

How AI found its way to smartphones

Artificial intelligence was often associated with creating robots to perform human-like functions at a much faster, more efficient rate — which is heavily portrayed on mainstream media. Through AI, these machines learn more about the environment they’re in, and carefully adjust to meet the needs of the users. Such a process is called machine learning.

Nowadays, machine learning isn’t just limited to AI robots that learn what people are doing, but has now branched out to what people are thinking, inquiring about, and saying to other people. AI has slowly made its way into other devices that are much more accessible to us, primarily through the internet.

Machine learning is now incorporated into smart home devices, online video streaming websites like YouTube and Netflix, social media websites such as Facebook and Twitter; basically, the technology behind AI constantly learns more about people, their interests, and day-to-day activities.

The newest member of AI-integrated devices are smartphones themselves. Companies like Apple and Google have looked into integrating AI into the processors of their flagship phones — the iPhone and Pixel series, respectively. Early 2018 saw most Android smartphone brands integrate AI within their phones as a way of enhancing the user experience even further; Huawei and ASUS released their new flagship phone lines with their cameras utilizing AI for smarter responses to the environment around the user.

It’s quite possible that smartphones could very well lead the transition of all devices towards machine learning and AI in the near future.

Smartphones with AI

As mentioned, two companies have integrated AI into their smartphones to provide enhanced user experiences in a totally different way. One of these companies is ASUS, with their recently released ZenFone 5 series of smartphones with cameras powered by AI. Its shooters focus primarily on taking better photos and adjusting to the environment around you. The ZenFone 5’s AI Photo Learning allows the phone to learn how you like your photos and adjust the settings accordingly so you don’t have to.

Apart from its cameras, the ZenFone 5 series uses AI to boost overall performance. The base model is powered by a Qualcomm Snapdragon 636 processor, which enables the full utilization of AI features on the phone. The AI Boost technology allows the handset to have an instant hit in performance when running heavy-duty applications and games. Of course, AI in the ZenFone 5 also predicts which apps you will use next and learns which apps you use regularly.

Another company that integrates AI in its smartphones is Huawei, with the Mate 10 and P20 series. They’re powered by the Kirin 970 processor — which boosts overall performance and efficiency using integrated AI. This means that the phones will adjust to how much you use them and maximize performance every step of the way. They also come with Huawei’s EMUI 8.0 with its own set of AI features such as Smart Screen for multitasking and real-time translation during calls.

Much like the ZenFone 5, the Huawei Mate 10 and P20 phones also have cameras powered by AI. This powers the phones’ dual-lens camera setups for scene and object recognition, automatically adjusting the camera’s settings to suit the situation. Huawei also emphasizes producing professional-grade photos by allowing the AI to adjust the camera’s focus on the subject. That way, you are able to achieve a perfect-looking selfie or portrait — without the need to manually adjust the settings for a long period of time.

What we get from AI

Artificial intelligence opens up many opportunities for technology to be like humans in terms of processing thoughts and insights. What AI does is it allows machines to learn more about humans and tailor-fits its processes and capabilities to match us, from search engines to smarter applications. When treated properly, AI can actually deliver better and more efficient ways of dealing with the problems people face almost every single day.

The only downside is AI has the potential to even invade one’s privacy, especially through one’s smartphone. Because the technology is constantly learning more about its user through his or her devices, this opens the door for the data to be retrieved by, quite literally, anyone on the internet.

Because people nowadays access their smartphones almost every chance they get, people who truly know how AI works have the potential to abuse what they know and use it for their own personal gain, either through malicious activities like cyberstalking and cyberbullying, or online attacks like hacking or phishing.

The future of AI

2018 is looking like the year of AI with the unveiling of smartphones and revamped smart devices to upgrade the user experience. The possibilities for artificial intelligence are endless, given its wide usage across any available platform.

For now, it’s intelligent cameras on your smartphones that adjust settings for you to save the hassle of getting the perfect image. Some time in the future, AI could very well exist even on a gaming controller or mirrorless camera to adjust to your needs. However, we have to be aware about the dangers of using AI to its fullest as it can also lead to our own careless actions.

Indeed, the future is bright for artificial intelligence — as long as we use it for the right reasons.

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