As the world’s largest smartphone and memory chip manufacturer – along with being a key player in many consumer devices including TVs, washing machines, fridges, and more – Samsung has established itself as a tech leader.

The convergence of powerful emerging technologies such as AI, IoT, and the cloud, have the potential to radically shake-up the industry and dethrone established players if they don’t keep pace. Samsung has made clear it has no intention of giving up its castle.

“In a hyperconnected society via 5G, AI and internet of things, a company that innovates user experiences will be a global business leader,” said Koh Dong-jin, head of IT & mobile communications at Samsung, during an AI forum held at the company’s Seoul R&D Center.

“5G, AI will lay the ground for technology innovations for smartphones, wearables, speakers, internet of things, augmented reality and virtual reality, and provide a turning point for our everyday lives.”

Samsung has seven dedicated AI research centres across five nations; the US, UK, Korea, Canada, and Russia.

The company’s first AI mobile processor with a built-in 5G modem is set for release later this year to simplify the development of highly-capable devices with support for both of the important new technologies.

Amid a global slowdown in smartphone sales, Samsung will be hoping its AI and 5G investments help to fortify its position as a global tech leader in a rapidly-changing world.

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Due to US trade restrictions, Huawei is losing access to Google’s services. The new Mate 30 smartphones announced in Munich today will launch with the open-source Android, but it will not feature the Play Store, Gmail, YouTube, Google Pay, or the many other services which Western consumers are used to.

Among the features that will be missing from the Mate 30 onwards is Google Assistant. Huawei is quickly working to fill the gaps left without access to Google’s services with its own and is launching the Huawei Assistant as a replacement for Mountain View’s virtual assistant.

Walter Ji, Director of Business, HUAWEI Consumer Business Group Western Europe, said:

“With our focus on user experience, we bring AI into mobile services so we can proactively identify user needs and thus improve their smartphone experience.

Huawei Assistant is a product that intelligently fulfils user needs at the same time as offering partners an opportunity to provide their services to users through a globally-available distribution platform.”

Huawei Assistant will launch with basic functionality compared to Google’s version, but the company is promising to expand it.

By swiping to the right of the homescreen, much like accessing Google Assistant today, users can begin interacting with Huawei Assistant. The service is powered by Huawei Ability Gallery, a service distribution platform.

There are four key features of the Huawei Assistant:

• Newsfeed – Today’s Google Assistant provides some personalised articles when you swipe to it on an Android device. The newsfeed feature is Huawei Assistant’s alternative but users can decide whether to receive custom recommendations or to select from news agencies to fill their feed with “up-to-the-minute” articles.
• Search – Users can search for information on their smartphone using Huawei Assistant. The assistant will surface things such as installed apps, memos, emails, and calendar entries, while also providing an online search feature using the default browser.
• Instant Access – Four shortcuts to a user’s choice of applications can be selected for quick access. In the future, Huawei says this can make use of AI so the shortcuts are intelligently-selected based on what the user may want at that moment.
• SmarterCare – Real-time information will be provided using AI. At launch, this will mean things such as the weather forecast, missed calls, and schedule reminders. Future planned functionality will enable more powerful abilities like booking restaurants, flights, taxis, and hotels.

The new assistant from Huawei will be pre-installed on Mate 30 series devices but it will also be downloadable from the company’s App Gallery.

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Loup Ventures asked each of the three main virtual assistants – Google Assistant, Alexa, and Siri – a total of 800 questions. The assistants understood almost every question, even if not all of the responses were correct/sufficient.

In terms of understanding the questions, these are the results:

• Google Assistant – 100 percent
• Alexa – 99.9 percent
• Siri – 99.8 percent

Loup Ventures’ say their question set it designed to comprehensively test a virtual assistant’s ability and utility. Questions are broken down into five categories:

1. Local – Where is the nearest coffee shop?
2. Commerce – Order me more paper towels.
3. Navigation – How do I get to Uptown on the bus?
4. Information – Who do the Twins play tonight?
5. Command – Remind me to call Jerome at 2 pm today.

This is the percentage of questions each assistant answered correctly:

• Google Assistant – 92.9 percent
• Siri – 83.1 percent
• Alexa –  79.8 percent

The results are a huge improvement over Assistant, Alexa, and Siri’s results last year.

In 2018, Loup Ventures found Google Assistant answered the most questions with an 86 percent success rate. This was followed by Siri at 79 percent, while Alexa trailed behind at just 61 percent.

Alexa’s jump in answering the question correctly from 61 percent last year to almost 80 percent this year is the most commendable performance improvement, even if Amazon’s assistant is still in last place overall.

The researchers explained that they’ve stopped including Cortana in their tests due to a strategy change from Microsoft earlier this year.

Microsoft said in January that it’s no longer attempting to compete with Alexa or Google Assistant in areas like smart speakers, but instead is repositioning Cortana more like a skill that can be embedded in services where she can be of assistance.

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Duplex caused a stir when it debuted at Google’s I/O developer conference last year. The AI was shown calling a hair salon to make a booking and did so complete with human-like “ums” and “ahs”.

The use of such human mannerisms goes to show Google’s intention was for the human to be unaware they’re in conversation with an AI. Following some outcry, Google and other tech giants have pledged to make it clear to humans if they’re not speaking to another person.

Duplex is slowly rolling out and is available for Pixel smartphone owners in the US. Currently, it turns out Duplex bookings are often being carried out by humans in call centres.

Google confirmed to the New York Times that about 25 percent of the Assistant-based calls start with a human in a call centre, while 15 percent require human intervention. Times reporters Brian Chen and Cade Metz made four sample reservations and just one was completed start to finish by the AI.

The practice of using humans as a backup should always be praised. Making this standard practice helps increase trust, reduces concerns about human workers being replaced, and provides some accountability when things go awry.

Only so much can go wrong when booking a hair appointment, but setting expectations now will help to guide developments further down the line.

AI is being increasingly used in a military capacity, and most will sleep better at night knowing a human is behind any final decision rather than complete automation. Just imagine if Soviet officer Stanislav Yevgrafovich Petrov decided to launch retaliatory nuclear missiles after his early warning system falsely reported the launch of missiles from the US back in 1983.

According to the Times, Google isn’t in a rush to replace the human callers, and that should be welcomed.

Related: Watch our interview with UNICRI AI and Robotics Centre head Irakli Beridze discussing issues like weaponisation and the impact on jobs:

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Google’s Assistant has always been among the most impressive, but it’s not exactly been known for its speed. Often it felt quicker to just do the task manually rather than wait for Assistant to respond.

The main reason for Assistant’s sluggishness, it transpires, is that it required around 100GB of storage in addition to an internet connection.

With some form of wizardry, Google’s engineers have condensed the models down to just 0.5GB which also means it can all run on-device. Naturally, this has sped things up considerably.

“Think of it as putting the power of a Google data center in your pocket,” said CEO Sundar Pichai.

Pichai went on to quip that Assistant is now so fast that even tapping your device feels slow. At this point, more users will find that using Assistant actually saves them time as intended.

The so-called “next generation” Assistant is so fast that it operates in real-time, according to Google VP of Engineering, Scott Huffman.

A demo by a Google employee showed the AI looking up information and multitasking between apps without having to go back and forth between screens.

Furthermore, the assistant will become more personal. Huffman demonstrated that if it’s helped you look for Italian and BBQ recipes in the past, that’s what it might suggest for you to make tonight. “What I love is that different people get completely different results,” Huffman exclaimed.

The recipes will only be available on smart displays like the Nest Home Hub (Google is unifying its smart home branding under Nest going forward).

As for the speedy new Assistant that will, predictably, launch first on Pixel smartphones later this year.

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There are two new chips in the 7-series – the Snapdragon 730 and 730G – along with one in the 6-series, the Snapdragon 665.

Kedar Kondap, VP of Product Management at Qualcomm, says:

“With the introduction of the Snapdragon 730, 730G and 665 Mobile Platforms, we are bringing features such as sophisticated AI, exceptional gaming and advanced camera capabilities to a broad spectrum of devices at exceptional performance.

Each iteration of Snapdragon drives immense innovation that will surpass customer expectations.”

The base Snapdragon 730 boasts double the AI processing power of its predecessor using Qualcomm’s 4th-gen multi-core AI Engine. A Qualcomm Hexagon 688 processor inside the 730 supports improved base scalar and Hexagon Vector eXtensions (HVX) performance, as well as the new Hexagon Tensor Accelerator.

Qualcomm has also packed in the Spectra 350 which contains a dedicated ISP for computer vision. It claims to provide up to four times as much power savings as its predecessor.

As for the Snapdragon 730G, that ‘G’ stands for ‘gamer’ and intends to boost the gaming performance of devices packing it.

While the 730 features the Adreno 618 GPU, the first time a Qualcomm 7-series chip has supported the Vulkan 1.1 graphics API, the 730G claims to offer 15 percent faster rendering. Furthermore, Qualcomm claims it’s “collaborated with consumers’ favorite game-makers to optimize Snapdragon 730G for a selection of the world’s top-rated games.”

A dedicated ‘Jank Reducer’ feature boasts that it can reduce stutter by up to 90 percent in games running at 30FPS.

Perhaps most impressive, however, is the Snapdragon 665 which brings more capable AI processing abilities to lower-end devices.

While the new 7-series chips feature the 4th-gen, the Snapdragon 665 is packing the 3rd-gen of Qualcomm’s AI Engine with the Hexagon 686 DSP. It too claims to offer double the performance of its predecessor.

Packing the Spectra 165 ISP, the Snapdragon 665 provides AI-powered scene recognition and auto adjustments like HDR. To account for the growing number of unique camera setups on today’s smartphones, it supports up to three cameras which can include telephoto, wide-angle, and ultra-wide lenses.

Qualcomm has also partnered with Morpho to enhance the camera functionality of the Snapdragon chips.

Toshi Torihara, VP of Morpho, commented:

“Morpho is proud to collaborate with Qualcomm to integrate our image processing software on mobile. With the Snapdragon 665 mobile platform, we brought MovieSolid, our state-of-the-art image stabilisation implementation, to deliver industry-leading video experiences to the mobile camera industry.

We believe this partnership will further enhance smartphone camera capabilities, bringing mobile imaging & AI technologies to the next level.”

For gamers, the Snapdragon 665 features the Adreno 610 GPU which also supports the Vulkan 1.1 graphics API to help provide an improved gaming experience for those who on lower-end devices.

Commercial devices based on the Snapdragon 730, 730G, and 665 are expected to be available in mid-2019.

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The company’s flagship P-series of smartphones focuses on camera innovations. With this latest device, we’re seeing that trend continue. There are clear enhancements to existing features in addition to a few new things for us to play with.

In the Mate 20, Huawei’s previous flagship, the company expanded the number of scenes and objects its AI could recognise to 5,000 different objects and 1,500 different scenarios across 25 categories.

While impressive, many ended up switching the feature off and Huawei even released an update to do so by default. Objects were often misrecognised and images ended up looking poorer.

Huawei has made clear improvements with the P30 Pro. Aside from one amusing occurrence where my dog was recognised as a panda – and I’m fairly sure he’s not – the AI recognition has excelled, and even surprised (in a good way.)

The standout moment was taking a shot of a flower. From a distance, the AI identified the shot was of some ‘greenery’ and made the colours punchier. Framing more of the flower caused the AI to switch over to ‘flowers’ and made it sharper with a nice depth-of-field bringing the object into focus while blurring the backdrop.

Moving closer still, to capture small details of the flower, caused the AI to switch to ‘super-macro’. This mode uses the P30 Pro’s incredible macro capabilities of taking images just 2.5cm away.

Low-light photography is another area where Huawei is harnessing AI to elevate its performance. The AI image stabilisation allows the user to capture long-exposure photographs without the need for a tripod.

In the image below, both shots were taken from the same place in near pitch-black conditions:

One implementation of AI we’re unconvinced about is the smartphone’s use for HDR. As you can see below, the feature led to a washed-out image which you’d not expect from a HDR shot:

Huawei has issued updates in the past to improve the camera performance of its devices, so we’ll be keeping an eye out for one to address this. For now, it seems better to keep the HDR feature switched off.

Ahead of the P30 announcement, Huawei hyped the device’s zooming capabilities. Based on our tests, we can understand why:

In the first image, I’ve had to mark where the small daffodil is that we’re zooming in on. At 5x, due to being an optical zoom, we’re seeing no quality loss. At 10x, Huawei makes use of AI for a hybrid zoom that it claims is ‘lossless’ (we think there’s some loss, but it’s negligible.)

At 50x zoom, we’re seeing a noticeable loss of image quality. However, that is an incredible zoom for a smartphone camera and is only enabled through AI stabilisation. The resulting image is still recognisable even though it won’t be winning awards. Considering how difficult it is to pick out the flower by eye in the non-zoomed image, it’s a commendable performance.

Moving slightly away from photography into videography, the P30 Pro uses AI in combination with OIS (Optical Image Stabilisation) to keep things steady in rough conditions. We put it through some fairly extreme tests of waving the device while recording, and even going for a jog.

In both scenarios, the AI stabilisation performed admirably. While it was not perfectly stable, the result was viewable and it’s hard to imagine stabilisation getting much better (although, I have been surprised in the past.)

A clip of the AI video stabilisation is available in our YouTube review below:

Finally, we’ve benchmarked the Huawei P30 Pro against the company’s previous flagship – the Mate 20 Pro. Here are the results:

Your eyes aren’t deceiving you, the P30 Pro had a slightly lower overall result. It’s a surprise given both use the same NPU, CPU, and GPU. In fact, the P30 Pro has 2GB more RAM to play with over the Mate 20 Pro (8GB vs 6GB).

Benchmarks only tell a small part of the story and this one is overwhelmingly positive. Huawei has excelled itself and set the bar for AI on a smartphone with the P30 Pro.

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Laserlike is known for its AI-powered app which makes it easier for users to follow news topics. Most notably, it was founded by former Google engineers.

Few people think of Apple as an AI leader. The firm’s closest rival, Google, has invested heavily in AI for many years (as much for its cloud and search businesses as mobile).

Apple is, therefore, coming from a position behind in terms of AI development. However, it is quickly catching up through hoovering up talented AI companies and solutions. Let’s all remember, even Siri was acquired from Nuance.

Here are some of the other AI companies Apple has acquired in the past few years:

• Silk Labs (2018)
• Asaii (2018)
• Spektral (2017)
• Regains (2017)

Following the poaching of Google’s John Giannandrea, it’s been clear that Apple has been doubling-down on its AI efforts. Which makes sense, if you’re here on AI News then you know how important it is for Apple to become a leader in the space.

On its website, Laserlike pledges to keep personalisation at its core post-Apple acquisition:

“This is one of the things we want to fix on the Internet. Laserlike’s core mission is to deliver high quality information and diverse perspectives on any topic from the entire web. We are passionate about helping people follow their interests and engage with new perspectives.”

Apple is holding an event on March 25th where it’s rumoured to be launching a news subscription service. It will be interesting to see if this acquisition plays a part.

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If you’ve ever read a comprehensive smartphone review, you’ve likely heard of AnTuTu. The company’s smartphone benchmarking tool is often used for testing and comparing the CPU and 3D performance of devices.

With dedicated AI chips now appearing in devices from the mid-range to flagships, AnTuTu has decided it’s time for a benchmark to determine their performance.

In a blog post, AnTuTu says its benchmark uses two categories – ‘Image Classification’, and ‘Object Recognition’.

AI News tested AnTuTu’s benchmark on a Huawei Mate 20 Pro which currently ranks second on AnTuTu’s general performance leaderboard for Android devices. Huawei often brags about the AI performance of its flagship devices.

The first test classifies 200 images as fast as possible using the Inception v3 neural network:

In the second test, 600-frame video is reviewed using the MobileNet SSD neural network:

AnTuTu then delivers an overall benchmark score, along with the scores for each category.

Here is how our Mate 20 Pro fared:

• Overall – 65,222
• Image Classification – 41,717
• Object Detection – 23,505

Each of the categories is further broken down into scores for ‘speed’ and ‘accuracy’. If accuracy is traded for speed, then a lower score will be given.

AnTuTu says this helps to prevent cheating by devices processing the data fast but without providing the right answers. Smartphone manufacturers have been caught artificially-inflating their benchmarks in the past; so it provides added confidence in the results.

For a general look at the AI features in the Mate 20 Pro, see our video below:

You can download the AI benchmark from AnTuTu here.

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The company says its NPU (Neural Processing Unit) will deliver up to seven times faster AI performance than Samsung’s older Exynos 9810 chip in the S9.

Huawei became the first to debut a dedicated NPU in a flagship smartphone with their Kirin 970 chip in the Mate 10.

In our Mate 10 coverage, we noted Huawei claimed using an NPU could increase performance up to 25x over a CPU/GPU.

Huawei pitted the Mate 10 against the Galaxy Note 8 in an internal test recognising 100 photos. The Mate 10 reportedly completed the benchmark in five seconds while Samsung’s device trailed behind at 100 seconds.

Now that Samsung will have its own NPU chip, we look forward to comparing its performance against Huawei’s efforts.

Qualcomm chips are found in most other handsets – in fact, the Snapdragon 845 is even used in the US version of the Galaxy S9.

While Qualcomm is yet to launch a dedicated smartphone NPU, the company says the 845’s combination of DSP, CPU, and GPU delivers three times faster AI performance than its predecessor.

Samsung boasts the Exynos 9820 will deliver a 20 percent boost to single-core CPU performance and 15 percent improvement to multi-core. The GPU benefits from ARM’s new Mali G76 cores, which first debuted in Huawei’s Kirin 980 chip, to deliver 40 percent more performance.

The 9820 is said to be ready for production by the end of the year so it should be on track for the S10’s expected launch in late February.

It will be interesting to see how Samsung makes use of its NPU. More competition is always good, especially from a tech behemoth like Samsung, and will help drive innovations from the likes of Huawei and Apple further.

Here’s our video of Huawei’s latest AI features in the Mate 20 Pro:

 AI & >.

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