Huawei Mate20Pro has 5 functions that Samsung Note9 does not have.

With the release of the 1T mobile phone 6T, the flagship machines of the major mobile phone manufacturers this year have basically appeared. Although in the past 2 months, every manufacturer released a smartphone has the urge to buy, but the difference is still very large. Before the release of Huawei Mate20Pro, Samsung Note9 is recognized as the Android machine emperor. However, due to Samsung’s lack of innovation in appearance and function, the position of the Emperor was successfully replaced by the more amazing Huawei Mate20Pro. Recently, the foreign media also took stock of the five features that Huawei Mate20Pro owned and Samsung Note9 did not. This also proves that the machine Samsung Note9 was pulled down by Huawei Mate20Pro.

1. Unlock the fingerprint on the screen

 

Although Samsung has been researching fingerprint scanning technology for ultrasound screens for several years, it has not been used in Samsung mobile phones. Even Samsung Note9, which has been highly anticipated this year, is still behind fingerprint recognition. The screen fingerprint unlocking currently used by Huawei Mate20Pro is an optical sensor. The recently released one-touch mobile phone 6T has a similar fingerprint unlocking principle. A closer comparison reveals that the smartphones that are currently unlocked by the screen are domestically produced. Samsung Note9 represents the highest level of technology in South Korea, and now it is also in the hands of domestically produced machines.

2.3D face recognition

 

At present, Samsung Note9 uses 2D face recognition to unlock, so the unlocking method has a very big security risk. Huawei Mate20Pro is equipped with 3D face recognition unlocking function for the first time this year. It may not be perfect, but in most cases, the speed of unlocking is not only fast, but also convenient and safe. The unlocking method of Samsung Note9 is still used for unlocking the rear fingerprint, unlocking the iris, and unlocking the face. It has been used for several years, and there is still no change.

3. Fast charge and wireless charging

 

Huawei’s Mate20Pro with a battery capacity of 4,300 mAh is definitely an innovative pioneer in smartphones. Equipped with a 15W wireless charging speed, it is scary enough, and now there is a 40W super fast charge. Samsung Note9 currently uses its own fast charge for nearly 2 hours to fully charge 4000 mAh, while Huawei Mate20Pro takes 69 minutes to fill a 4200 mAh battery. How big the gap is, a comparison will know. More critically, Huawei Mate20Pro also has reverse wireless charging technology, and can also charge iPhone XS and XSMax, Samsung S9+ wireless.

4. Three lenses

 

Huawei Mate20Pro’s Leica three lens is definitely the most enviable feature of Samsung users. Although Samsung released the Samsung A9S with 4 lenses, it is not as effective as the three-shot Huawei P20Pro. The Samsung Note9 camera effect is indeed very powerful, and the dual lens encounters the Leica three lens and only accepts the loss. At present, the three-lens mobile phone is only Huawei, but the Samsung Note9 does not. The future Samsung Note series will not carry three lenses, this is hard to say.

5.7 nm process processor

 

This is definitely the most envious of Samsung Note9 users. Although Samsung Note9 is equipped with the self-developed Orion 9810, but the actual speed test was hoisted by the 7-nanometer Kirin 980 processor, Samsung Note9 equipped with the Snapdragon 845 processor, is also crushed. The Kirin 980 processor is the world’s first 7-nanometer processor. At present, Samsung has not got rid of its dependence on the Snapdragon 845 processor. It is believed that Samsung will still be envious of the processor in the next few years.

Huawei Tablet M5 Youth Edition – 4 layout compact array microphone

On the hardware side, in order to better understand the user’s voice commands, four compact microphones are placed on the top of the Huawei M5 body frame, and Huawei’s R&D team is used to target various common noise interference scenarios. Long-term batch wake-up, identification testing, and repeated debugging of orientation, angle, and distance. In the end, you can ensure that any sentence you say to it within 5 meters can be included.

Huawei Tablet M5 Youth Edition – Harman Kardon Theater Level Audio and Video Professional Tuning

In addition, as an audio-visual tablet, Huawei Tablet M5 Youth Edition is also equipped with custom smart power amplifier chip and Huawei Histen5.0 sound enhancement technology, plus Harman Kardon theater-level audio and video professional tuning, the entire speaker The listening effect is full and shocking, and the sound quality is upgraded to a higher level than the traditional tablet. Especially when using Huawei Tablet M5 Youth Edition to chase the drama, the sound effect will never lose to the 60-inch big TV.

Huawei Tablet M5 Youth Edition -10.1 inch 1920X1200 level IPS screen

In terms of screen configuration, Huawei tablets have always adopted a high level of configuration. Huawei Tablet M5 Youth Edition provides 10.1-inch 1920X1200 IPS screen, and Huawei provides a unique “sharp screen” display enhancement technology, intelligent adjustment of contrast and saturation with intelligent algorithms, in terms of color expression and enhanced image vivid effects Better performance.

What Do the AI Chips in New Smartphones Actually Do?

Artificial intelligence is coming to your phone. The iPhone X has a Neural Engine as part of its A11 Bionic chip; the Huawei Kiri 970 chip has what’s called a Neural Processing Unit or NPU on it; and the Pixel 2 has a secret AI-powered imaging chip that just got activated. So what exactly are these next-gen chips designed to do?

As mobile chipsets have grown smaller and more sophisticated, they’ve started to take on more jobs and more different kinds of jobs. Case in point, integrated graphics—GPUs now sit alongside CPUs at the heart of high-end smartphones, handling all the heavy lifting for the visuals so the main processor can take a breather or get busy with something else.

The new breed of AI chips are very similar—only this time the designated tasks are recognizing pictures of your pets rather than rendering photo-realistic FPS backgrounds.

What we talk about when we talk about AI

AI, or artificial intelligence, means just that. The scope of the term tends to shift and evolve over time, but broadly speaking it’s anything where a machine can show human-style thought and reasoning.

A person hidden behind a screen operating levers on a mechanical robot is artificial intelligence in the broadest sense—of course today’s AI is way beyond that, but having a programmer code responses into a computer system is just a more advanced version of getting the same end result (a robot that acts like a human).

As for computer science and the smartphones in your pocket, here AI tends to be more narrowly defined. In particular it usually involves machine learning, the ability for a system to learn outside of its original programming, and deep learning, which is a type of machine learning that tries to mimic the human brain with many layers of computation. Those layers are called neural networks, based on the neural networks inside our heads.

So machine learning might be able to spot a spam message in your inbox based on spam it’s seen before, even if the characteristics of the incoming email weren’t originally coded into the filter—it’s learned what spam email is.

Deep learning is very similar, just more advanced and nuanced, and better at certain tasks, especially in computer vision—the “deep” bit means a whole lot more data, more layers, and smarter weighting. The most well-known example is being able to recognize what a dog looks like from a million pictures of dogs.

Plain old machine learning could do the same image recognition task, but it would take longer, need more manual coding, and not be as accurate, especially as the variety of images increased. With the help of today’s superpowered hardware, deep learning (a particular approach to machine learning, remember), is much better at the job.

To put it another way, a machine learning system would have to be told that cats had whiskers to be able to recognize cats. A deep learning system would work out that cats had whiskers on its own.

Bear in mind that an AI expert could write a volume of books on the concepts we’ve just covered in a couple of paragraphs, so we’ve had to simplify it, but those are the basic ideas you need to know.

AI chips on smartphones

As we said at the start, in essence, AI chips are doing exactly what GPU chips do, only for artificial intelligence rather than graphics—offering a separate space where calculations particularly important for machine learning and deep learning can be carried out. As with GPUs and 3D graphics, AI chips give the CPU time to focus on other tasks, and reduces battery draw at the same time. In also means your data is more secure, because less of it has to be sent off to the cloud for processing.

So what does this mean in the real world? It means image recognition and processing could be a lot faster. For instance, Huawei claims that its NPU can perform image recognition on 2,000 pictures every second, which the company also claims is 20 times faster than it would take with a standard CPU.

More specifically, it can perform 1.92 teraflops, or a trillion floating point operations per second, when working with 16-bit floating point numbers. As opposed to integers or whole numbers, floating point numbers—with decimal points—are crucial to the calculations running through the neural networks involved with deep learning.

Apple calls its AI chip, part of the A11 Bionic chip, the Neural Engine. Again, it’s dedicated to machine learning and deep learning tasks—recognizing your face, recognizing your voice, recording animojis, and recognizing what you’re trying to frame in the camera. It can handle some 600 billion operations per second, Apple claims.

App developers can tap into this through Core ML, and easy plug-and-play way of incorporating image recognition and other AI algorithms. Core ML doesn’t require the iPhone X to run, but the Neural Engine handles these types of tasks faster. As with the Huawei chip, the time spend offloading all this data processing to the cloud should be vastly reduced, theoretically improving performance and again lessening the strain on battery life.

And that’s really what these chips are about: Handling the specific types of programming tasks that machine learning, deep learning, and neural networks rely on, on the phone, faster than the CPU or GPU can manage. When Face ID works in a snap, you’ve likely got the Neural Engine to thank.

Is this the future? Will all smartphone inevitably come with dedicated AI chips in future? As the role of artificial intelligence on our handsets grows, the answer is likely yes. Qualcomm chips can already use specific parts of the CPU for specific AI tasks, and separate AI chips is the next step. Right now these chips are only being utilized for a small subsection of tasks, but their importance is going to only grow.

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Huawei’s Mate 10 and Mate 10 Pro bring larger screens, better cameras, and bigger brains

Huawei already surpassed Apple earlier this year to become the second-largest overall smartphone maker (behind Samsung), but it hasn’t yet had a hit handset to rival the iPhone 7 or the Galaxy S8. With the launch of the Mate 10, Huawei is hoping to change that.

While the new phones look a lot like the flagships from Google, Samsung, and LG, there’s a key difference with the Mate 10: Huawei says it’s smarter than the average smartphone. Thanks to a new chip with a built-in neural processing unit (NPU), the Mate 10 can sense, analyze, and adapt to its surroundings, letting your phone work faster and last longer.

G’day, Mate! Huawei may be the second-largest phone maker in the world, but it has yet to break into the all-important U.S. market in a meaningful way. Last year’s Mate 9 with Amazon Alexa didn’t quite do the trick, but the smarts built into the Mate 10 could make the phone a hit with U.S. buyers. Huawei already makes world-class processors with its Kirin chips, and the Kirin 970’s NPU brings something new to the game. In a sea of shrinking bezels and top-notch cameras, it could be a difference-maker.

Screens with a view

Like last year, there are two versions of the new Mate phone, a regular model and a Pro model. But they’ve switched identities. With the Mate 9, the Pro had a home button, a smaller screen, and Quad HD resolution, but this year it’s the non-Pro model that has all those things: Along with a home button/fingerprint sensor on the front, the Mate 10 has a 5.9-inch Quad HD 2560×1440 LCD display, while its higher-end brother sports a 6-inch Full HD 2160×1080 AMOLED screen with a rear fingerprint sensor. If you can’t tell from the resolution, that’s a 16:9 for the Mate 10 and an 18:9 ratio for the Mate 10 Pro.

The screen isn’t the only difference between the two models. Both base models of the Mate 10 and Mate 10 Pro come with 4GB of RAM and 64GB of storage, but only the Pro model has an option with 6GB of RAM and 128GB of storage. Additionally, the Mate 10 Pro brings IP67 water resistance, but no headphone jack while the regular Mate 10 has a 3.5mm jack but you can’t get it wet.

Intelligent design

Otherwise, the two phones are very much the same. Most importantly, they both have the homegrown Kirin 970 processor, which Huawei says delivers 20 percent power efficiency over the previous processor. And that’s with the same 4,000mAh battery in both models, so the Mate 10s should easily power you through a full day of heavy use. However, even though both phones have glass backs, neither supports wireless charging.

Built into the Kirin 970 processor is a dedicated neural processing unit. Similar to the embedded neural engine in Apple’s A11 Bionic chip, the Mate 10’s NPU will aid with machine learning and artificial intelligence. Thankfully, Huawei hasn’t introduced a new digital assistant like Samsung and HTC did. Instead, the smarts built into the Mate 10 are used to make the phone faster (up to 25 times) and more power efficient (up to 50 times) than relying exclusively on the CPU.

Around the back, the phones feature dual-camera setups packing a 20MP mono camera with a 12MP RGB one. Both lens have an impressive f/1.6 aperture, while the main camera has optical image stabilization. The NPU comes into play here with automatic image detection, which dynamicaly switches shooting modes depending on what you’re shooting. The selfie cam is a relatively pedestrian 8MP with a f/2.0 aperture, but it makes up for its specs by using AI smarts to quickly focus when taking group shots.

Oreo inside

The Mate 10 will be one of the first Android phones based on Oreo, and to mark the occasion, Huawei has jumped its EMUI skin to version 8 (from EMUI 5 on the Mate 9). The new OS’s main feature is a floating navigation dock that puts a virtual home button on the screen that can be moved anywhere, which is particularly useful on the home-button-less Mate 10 Pro. Another feature is one-tap split screen, which lets you run two apps side by side without needing to drag windows around.

Huawei also wants the Mate 10 to be a smart desktop companion. Just like the Galaxy S8 and Note 8 phones, you can hook up the the Mate 10 to a monitor to get a full desktop experience—except you don’t need to buy a dock to do it. Just plug a standard USB-C-to-HDMI or USB-C-to-USB-C cable from your phone to your monitor, and you’ll be able to use your Mate 10 like a mini computer, complete with multitasking, resizable windows, and Bluetooth mouse and keyboard support. You can even use your phone for other work while a video is playing on the large screen.

The Mate 10 will be available in brown, gold, pink gold, and black, while the Mate 10 Pro comes in blue, titanium gray, pink gold, and brown. There will also be a Porsche Edition that’s essentially a stylized Mate 10 Pro in a black case with a 256 GB drive and a vertical strip across the back. The Mate 10 will cost 699 euros and will be available in late October while the Mate 10 Pro will cost 799 euros and release in mid-November. U.S. pricing and availability have yet to be announced.