Hardware Category - Page 564 of 1065 - CNX Software

February 26, 2018February 26, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Huawei Unveils Balong 5G01 5G Cellular Modem Chip, and 5G Routers

5G will start to take off in 2019. so we should be expecting hardware announcement this year, after having seen solutions by Qualcomm and Ericsson previously, Huawei has unveiled their Balong 5G01 5G Arm SoC and 5G CPEs (Customer Premise Equipment) / routers at Mobile World Congress 2018. We don’t have a whole information about the chip, except it’s a 64-bit Arm based SoC compatible with 3GPP telecommunication standard for 5G working with both sub-6 GHz and mmWave bands, and capable of achieving 2.3 Gbps peak throughput. Huawei Balong 5G01 chip is found in two HUAWEI 5G CPE, basically 5G WiFi router, one working at sub 6 GHz (low frequency) comprise of one indoor deice, and the other working at mmWave bands (high frequency) that requires two devices one indoor, one outdoor to receive the signal, since the latter would have troubles going through walls. The CPEs come with high […]

February 26, 2018February 27, 2018 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Huawei MediaPad M5 Tablets Come with Kirin 960 Processor, 8.4″ or 10.8″ Display, Optional LTE

Huawei has unveiled three MediaPad M5 tablets at Mobile World Congress 2018 with one model with a 8.4″ display, another with a 10.8″ display, and a Pro model adding a pen, support for an optional keyboard cover, more storage to the latter. All models will come with Hisilicon/Huawei Kirin 960 octa-core Cortex A73/A53 processor, displays with 2560×1600 resolution, plus WiFi and optional LTE connectivity. MediaPad M5 / M5 Pro specifications: SoC – Kiron 960 octa-core processor with four Cortex A73 cores @ 2.4 GHz, four Cortex A53 cores @ 1.8 GHz, Arm Mali-G71MP8 GPU System Memory – 4GB RAM Storage – 32 to 128GB internal storage, micro SD card slot Display – 8.4″ or 10.8″ 2560 x 1600 pixels, Enhanced ClariVu display Connectivity – Wi-Fi 802.11a/b/g/n/ac, 2.4 GHz & 5 GHz Cellular Connectivity – LTE FDD / LTE TDD / WCDMA / GSM (Enabled only on the SHT-AL09 version) Location […]

February 26, 2018 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Onda V18 Pro Tablet Review – Part 2: Android 7.1 Firmware

Onda V18 Pro is one of the first tablet powered by Allwinner A63 processor allowing for low-cost tablets with high resolution 2K displays (2560×1600). I received a sample from GearBest, and I already checked out the hardware and run Antutu 7 benchmark in the first part of the review entitled “Onda V18 Pro (Allwinner A63) 2K Tablet Review – Part 1: Unboxing, First Boot, and Antutu 7 Benchmark“. I’ve now spent more time with the tablet browsing the web, watching YouTube videos, reading books, playing games, and running some more benchmarks, so I’ll report my findings in this second part of the review. General Impressions I’ve found the tablet’s high resolution 10.1″ display to be very good for reading books or browsing the web, albeit the latter feels a bit slower than on Xiaomi Mi A1 smartphone (my main phone). As we’ll see later on, 3D graphics is not that […]

February 26, 2018February 26, 2018 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Android Go Smartphones Launches – Alcatel 1X, Nokia 1, ZTE Tempo Go, and More Expected

Google released Android 8.1 Go Edition at the end of last year for low-end devices with 512MB to 1GB RAM, but so far no products had been launched with the new optimized operating systems. Hiroshi Lockheimer, Senior Vice President, Platforms & Ecosystems at Google, wrote a few days ago that Android Go phones were to be announced at Mobile World Congress 2018 for as low as $50. I’ve not seen any models for $50 yet, but several Android Go smartphones have already been announced right before the event. We’ll have a quick look at some of models announced so far. Alcatel 1X The phone is equipped with Mediatek MT6580 quad-core Cortex A53 processor @ 1.3 GHz, 1GB RAM, 16GB storage, a 5.3″ 960×480 display, rear and front-facing cameras, and a 2,460 battery. Alcatel 1X will support 2G, 3G and 4G networks, and come with single or dual SIM slots. The […]

February 26, 2018August 10, 2018 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Samsung Galaxy S9 and S9+ Smartphones Launched with Snapdragon 845 or Exynos 9810 SoC

After various leaks on the web, Samsung has now officially launched their flagship smartphones – Samsung Galaxy S9/S9+ – at Mobile World Congress 2018. The phones look very much like last year’s Samsung S8/S8+ smartphones, but include faster processors with either Qualcomm Snapdragon 845 or Samsung Exynos 9810, better cameras (e.g. super slow motion mode @ 960 fps, low light improvements), some design tweaks (fingerprint scanner under the camera instead of on the side), and some new software features, like AR Emoji that creates your own virtual avatar based on your photo. Samsung Galaxy S9/S9+ specifications: SoC Qualcomm Snapdragon 845 octa-core processor with four Kryo 385 cores @ up to 2.8 GHz, four Kryo 385 cores @ up to 1.7 GHz, Adreno 630 GPU; 10nm Samsung Exynos 9810 oct-acore processor with four Exynos M3 core @ up to 2.7 GHz (Anandtech claims the max frequency can only be achieved when […]

February 25, 2018February 25, 2018 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

SODAQ SARA is an Arduino Compatible Cellular IoT Board with LTE-M, NB-IoT, and GNSS (Crowdfunding)

There really seems to be a push for cellular IoT those days, with new hardware coming up every week. Following up on their NB-IoT shield for Arduino last year, SODAQ has now launched two versions of SARA boards based on u-blox SARA LTE-IoT modules, and u-blox M8Q GPS/GNSS module. Both boards are Arduino compatible thanks to a Microchip SAMD21 MCU, and while u-blox SARA board follows the Arduino form factor, u-box SARA SFF is much more compact (50×25.4 mm) and potentially easier to integrate into a project or product. Another pretty unique feature (AFAICT) is that you can power the board directly with a solar panel. u-blox SARA board specifications: Wireless module (three options) with external antenna: SARA-N211 NB-IoT, band 8 and 20, for the European and African market SARA-R410M Dual mode LTE-M and NB-IoT module for all global bands SARA-R412M Triple mode module with LTE-M, NB-IoT and 2G for […]

February 24, 2018June 18, 2018 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Qualcomm Snapdragon 820E Launched for the Embedded Market, DragonBoard 820c Board Selling for $199

Qualcomm Snapdragon processors are mainly used in smartphones manufactured in high volume, and in the past if you contacted the company to use their processor for your custom project with a target yearly production of a few thousands pieces, they’d just ignore you. This started to change in late 2016 with the launch of Snapdragon 410E and 600E processors based on mobile version of Snapdragon 410 and 600 processors minus the modem, but instead targeting the embedded space and the Internet of Things, which anybody could purchase easily through Arrow Electronics, and offering a 10-year life cycle. Those are good if you are satisfied with entry-level or mid-range processor, but the company has now announced the launch of Snapdragon 820E for customers requiring better performance for their application. Snapdragon 820E specifications appears to be moslty the same as Snapdragon 820 except for the lack of X12 cellular modem: CPU – 4x Qualcomm […]

February 23, 2018 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

Imagination Releases PowerVR CLDNN Neural Network SDK and Image for Acer Chromebook R13

Last month, Imagination Technology released their PowerVR CLDNN SDK, an AI-oriented API that leverages OpenCL support in PowerVR GX6250 GPU in order to create network layers for constructing and running a neural network on PowerVR hardware. Eventually the SDK will support PowerVR Series2NX Neural Network Accelerator, but while waiting for the hardware, the company has provided a firmware that runs only on Mediatek MT8173 based Acer Chromebook R13. The SDK includes a demo taking a live camera feed to identify the object(s) the camera is pointing at, using known network models such as AlexNet, GoogLeNet, VGG-16, or SqueezeNet. All models are Caffe models trained against the ImageNet dataset, a benchmark function is included within the demo. Beside simply playing with the demos, you’ll be able to study the source code to check out various helper functions such as file loading, dynamic library initialisation and OpenCL context management, and read documentation such as the PowerVR CLDNN reference […]