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Qualcom makes visual leap

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Qualcomm Technologies has introduced two new mobile platforms it says are designed to support a leap in performance to enable advanced photography and enhanced gaming, in addition to long battery life and fast LTE speeds. 

The Snapdragon 660 and 630 Mobile Platforms include the Snapdragon 660 and 630 SoCs (systems on chip), which encompass the baseband functionalities, as well as software and hardware components, including RF front end, integrated Wi-Fi, power management, audio codec and speaker amplifier, all to support a comprehensive mobile solution.

“With the introduction of the Snapdragon 660 and 630 Mobile Platforms, we are thrilled that features such as improved image quality and fast LTE speeds will now be available in a wide array of devices without sacrificing performance or quality,” said Kedar Kondap, vice president, product management, Qualcomm Technologies, Inc. “This ensures that a greater number of consumers will be able to take advantage of higher quality user experiences in camera, audio and visual processing, connectivity, improved CPU and GPU performance, fast charging, security and machine learning.”

The Snapdragon 660 and 630 Mobile Platforms focus on seven categories of features:

  • Camera: The Qualcomm Spectra 160 premium camera ISP supports improved photographic image quality for more natural skin tones, superior low light photography, as well as better power efficiency and higher throughput for dual camera smartphones.  Also supported are features like smooth optical zoom, bokeh effects, dual pixel autofocus, and improved camcorder video stabilization;
  • Audio/Visual Processing: The Qualcomm Hexagon 680 DSP featuring vector extensions (HVX) on the Snapdragon 660 Mobile Platform enables high performance, power efficient processing of imaging, computer vision, and machine intelligence workloads, another first in the 600 tier. Optimized software libraries include support for TensorFlow and Halide. Both platforms also support Qualcomm All-Ways Aware technology with support for the Google Awareness API. This technology provides Qualcomm Technologies’ next generation of always-on contextual experiences and uses very low power running on the Hexagon DSP;
  • Connectivity: The Snapdragon 660 and 630 both feature a Snapdragon X12 LTE Modem, paired with the new SDR660 RF transceiver, which support peak downlink data rates of 600Mbps to the 600-tier lineup of SOCs for the first time. The Snapdragon 660 supports 2×2 MU-MIMO 802.11ac Wi-Fi for twice as much data throughput and 60 percent lower download power consumption as the Snapdragon 652. It also offers improved coverage, especially in homes, and offices with hard to penetrate brick and concrete walls as well as advanced features such as LTE/Wi-Fi antenna sharing, and Dual Band Simultaneous (DBS) operation. Both platforms also come with advanced RF front-end support including Qualcomm TruSignal adaptive antenna tuning with carrier aggregation, designed to dynamically optimize signal quality in varying user conditions for wide network coverage and more consistent data and voice experience. The Snapdragon 660 and 630 are the first 600-tier chipsets with envelope tracking technology, including high-power user equipment (HPUE) support, for superior power efficiency and thermal performance. Both platforms also integrate powerful location engines with better sensitivity and support for new constellations (Galileo and QZSS) for faster location fix, enhancements to support mandatory emergency service requirements, as well as smoother pedestrian navigation with up to 50 – 75 percent lower power consumption (compared to previous generation). Both platforms also feature Bluetooth 5 support, which doubles the amount of data that devices can transfer compared to the previous iteration;
  • Improved CPU and GPU: The Snapdragon 660 Mobile Platform is the successor to the Snapdragon 653 and features a 20 percent improvement in the Qualcomm Kryo 260 CPU and 30 percent improvement in the Qualcomm Adreno 512 GPU performance, ensuring a better gaming and multimedia experience for end users. The Snapdragon 630, which succeeds the Snapdragon 625, offers a 30 percent increase in the Adreno 508 GPU performance over its predecessor, as well as a 10 percent increase in CPU performance over its predecessor. Both platforms are designed to offer excellent battery life;
  • Qualcomm Quick Charge 4: The Snapdragon 660 and 630 Mobile Platforms feature the latest innovations in Quick Charge technology, which supports up to 5 hours of talk time in just 5 minutes of charging and up to 50 percent battery life in just 15 minutes of charging;
  • Security: Both platforms support Qualcomm Mobile Security, which provides security focused hardware-based protection, user authentication and device attestation on the mobile device;
  • Machine Learning: OEMs and developers can also power immersive and engaging user experiences with machine learning on the Snapdragon 660 and 630 Mobile Platforms using the Snapdragon Neural Processing Engine SDK. This heterogeneous software framework offers support for Caffe/Caffe2 and TensorFlow, making it easy to target and run neural networks on the Snapdragon core that matches the power and performance profile of the desired feature – CPU, GPU or DSP/HVX.

The Snapdragon 660 and 630 Mobile Platforms share the same modem and camera architecture, and are pin and software compatible, making it simpler and easier for original equipment manufacturers (OEMs) to build, test and calibrate their devices. Both platforms use a 14nm FinFET process and provide 4K video capture and playback capabilities, along with 8GB maximum memory and Vulkan API support. Additionally, the Snapdragon 660 Mobile Platform supports displays up to QHD (2K) resolution, whereas the 630 supports FHD/QXGA (1080p).

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Huawei Mate 20 unveils ‘higher intelligence’

The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.

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Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.

The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.

The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a  Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.

The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.

“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”

The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.

Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.

Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page. 

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How Quantum computing will change … everything?

Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.

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“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”

The Forrester report gives some practical applications for quantum computing which helps contextualise its potential: 

  • Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts. 
  • Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand 
  • Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
  • Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials. 

Continue reading to find out how Quantum computing differs.

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