--The ever-increasing demand from mobile Machine Learning (ML) applications calls for evermore powerful on-chip computing resources. Mobile devices are empowered with Heterogeneous Multi-Processor Systems on Chips (HMPSoCs) to process ML workloads such as Convolutional Neural Network (CNN) inference. These different components are capable of independently performing inference but with very different power-performance characteristics. In this article, we provide a quantitative evaluation of the inference capabilities of the different components on HMPSoCs. Finally, we explore the performance limit of the HMPSoCs by synergistically engaging all the components concurrently. The tremendous popularity of neural-network (NN) based machine learning applications in recent years has been fuelled partly by the increased capability of the compute engines, in particular, the GPUs. Traditionally, both the network training and inference were performed on the cloud with mobile devices only acting as user interfaces. However, enriched user experience now demands inference to be performed on the mobile devices themselves with high accuracy and throughput. In this article, we look at NN-enabled vision applications on mobile devices. These applications extract high-level semantic information from real-time video streams and predominately use Convolutional Neural Networks (CNNs).

Tech's biggest players have fully embraced the AI revolution. Apple, Qualcomm and Huawei have made mobile chipsets that are designed to better tackle machine-learning tasks, each with a slightly different approach. Huawei launched its Kirin 970 at IFA this year, calling it the first chipset with a dedicated neural processing unit (NPU). Then, Apple unveiled the A11 Bionic chip, which powers the iPhone 8, 8 Plus and X. The A11 Bionic features a neural engine that the company says is "purpose-built for machine-learning," among other things.

The graph of emerging technology is growing at an exponential rate and enterprises are rushing to adopt the latest trends. From cars to healthcare, AI has proven its business applicability. In this article, we discuss how leading tech giants use AI-based inference chips in the next step for evolving mobile devices. Smartphone manufacturers are now integrating faster AI capabilities in the devices, right from the user interface to the apps that people are using in their smartphones. In 2017, prominent chipmaker introduced its new Movidius Myriad X vision processing unit (VPU), advancing Intel's end-to-end portfolio of AI solutions to deliver more autonomous capabilities across a wide range of product categories including drones, robotics, smart cameras, and virtual reality. This chip has a dedicated Neural Compute Engine for accelerating deep learning inferences at the edge and is designed to run deep neural networks at a high-speed and low power without any loss of accuracy.

At trade fairs like the Mobile World Congress and IFA, Huawei, Samsung and Qualcomm are the main companies that focus on AI. You can also throw in Apple's new bionic processor and Google's Pixel Visual Core into that mix. Of course, this is only the current state of AI functions. AI is growing rapidly in the world of smartphones, and in the future we'll see many more applications. Development is progressing and we're still just at the beginning. Yet, even today there are exciting AI functions you can enjoy, if you have the right smartphone.

After having tested the waters with artificial intelligence in its top-end devices, Huawei will now open up its platform for developers to exploit it to the fullest. "Developers need to understand how AI works so they can build those capabilities into their apps. For us, the biggest challenge is natural interaction, and direct service access, when it comes to AI," Huawei's director of AI James Lu told indianexpress.com The telecom giant and smartphone manufacturer plans to hold a global developer conference on the lines of Apple's WWDC soon and hopes to rope in more developers, who will use the company's Application Programming Interface (APIs) in their apps. However, this seems to the natural progression of what has been a clear focus on AI for Huawei.

For the past few months, Huawei has been making headlines for all the wrong reasons -- the US government warned against buying the company's phones, which led to the breakdown of near-final deals with AT&T and Verizon. Then Best Buy, one of its few US retail partners, backed away too. We're not sure if the concerns hold any weight, but one thing is clear: It sucks to be Huawei right now. And in the midst of that turmoil, Huawei revealed its new P20 Pro, a remarkably well-built device with a triple camera system and loads of style. I doubt that would ever win over a Sinophobic bureaucrat though, so there's a strong chance no one in the US will ever be able to walk into a store and buy one.

HONG KONG – Artificial intelligence technologies are penetrating consumer markets faster than ever before. Now, in a world first, Chinese tech giant Honor has brought an AI-powered smartphone to the market – and it's poised to accelerate adoption of this groundbreaking technology. Honor, an independent sub-division of Huawei, first announced the flagship Honor View10 back in December of 2017. Billed as a lightning-fast consumer smartphone, there's much more going on under the skin of the View10 than is immediately obvious. The View10's Kirin 970 processor is integrated with a dedicated neural network processing unit (NPU) to deliver AI features and performance that the company claims'far surpasses' any CPU or GPU-powered architecture.

Huawei has unveiled the world's first triple rear camera system on a smartphone, which will use artificial intelligence (AI) to help users take photos. The Chinese firm said the new £800 ($1,130) P20 Pro uses AI to identify objects and scenes in the camera's view and adjust its settings accordingly. The smartphone can snap photos in near-dark conditions without using its flash or a tripod by taking exposures lasting up to six seconds to get enough light. Its AI system adjusts the camera's settings to avoid the blurring and smearing that often plagues photographers employing this technique handheld. The P20 Pro is the flagship device among three new phones the company announced at an event in Paris, where the P20 and P20 Lite were also introduced.

There has been increasing talks on Artificial Intelligence (AI) in various smartphone devices, but what can it really do for users? AI claims to improve the way people do things, but can it really make things better for consumers? Last 2017, Huawei released a new flagship line – Mate 10 and Mate 10 Pro. The devices boast of having a dedicated Neural Processing Unit (NPU) which acts as the brain for the smartphone. The Kirin 970 chipset holds a machine learning algorithm that makes the smartphone perform better.

When we point our smartphone camera, tap on the screen and take a picture, it's easy to forget, photography hasn't always been as simple as it is today – but that's the illusion of AI – what appears simple is in fact, incredibly complex. Phones like the Honor View10 are powered by the Kirin 970 processor, with AI at its heart. It sees through the dual lenses around the back, identifies what it's looking at using its Neural Processing Unit and captures your memories in stunningly high-resolution. But how did we arrive at the age of AI photography and what will smartphone photography look like in the future? As little as 20 years ago, digital cameras were anything but the norm – and the idea of a camera on your smartphone?