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February 27, 2018May 18, 2018 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Mediatek Helio P60 Cortex A73/A53 Mobile Processor Includes NeuroPilot AI technology

Neural Network Accelerators (NNA) may have become a must-have block in high-end mobile processors. Huawei Kirin 970, Samsung Exynos 9810, and Qualcomm Snapdragon 845 (via its Hexagon DSP) processors all come with NNA or NPU (Neural Processing Unit) to speed up tasks and comsume less power for tasks related to artificial intelligence / machine learning. Mediatek has also jumped on the bandwagon with Helio P60 chipset featuring four Cortex A73 cores, four Cortex A53 cores, an Arm Mali-G72MP3 GPU and a multi-core mobile APU (AI Processing Unit) leveraging the company’s NeuroPilot AI technology. Mediatek P60 key specifications: CPU – big.LITTLE Octa-core with four Arm Cortex-A73 up 2.0 GHz and four Arm Cortex-A53 up to 2.0 GHz GPU – Arm Mali-G72 MP3 at 800MHz Multi-core AI processing unit (Mobile APU) – 280 GMAC/s; offers deep learning facial recognition, object and scene identification, user behavior-informed performance and other AI and AR application […]

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 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 […]

February 14, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Arm’s Project Trillium Combines Machine Learning and Object Detection Processors with Neural Network Software

We’ve already seen Neural Processing Units (NPU) added to Arm processors such as Huawei Kirin 970 or Rockchip RK3399Pro in order to handle the tasks required by machine learning & artificial intelligence in a faster or more power efficient way. Arm has now announced their Project Trillium offering two A.I. processors, with one ML (Machine Learning) processor and one OD (Object Detection) processor, as well as open source Arm NN (Neural Network) software to leverage the ML processor, as well as Arm CPUs and GPUs. Arm ML processor key features and performance: Fixed function engine for the best performance & efficiency for current solutions Programmable layer engine for futureproofing the design Tuned for advance geometry implementations. On-board memory to reduce external memory traffic. Performance / Efficiency – 4.6 TOP/s with an efficiency of 3 TOPs/W for mobile devices and smart IP cameras Scalable design usable for lower requirements IoT (20 […]

January 29, 2018January 30, 2018 by Jean-Luc Aufranc (CNXSoft) - 36 Comments

Pine64 to Release RockPro64 Boards Based on Rockchip RK3399 and RK3399Pro for Around $60 and Up

Several Rockchip RK3399 boards have been announced in the last few days, first with AAEON RICO-3399 Pico-ITX single board computer targeting mostly business customers for digital signage, kiosk or, automation and Orange Pi RK3399, a featured-pack board with plenty of interfaces to play with. However those boards, and the one released previously, tend to cost between $100 and $200 or over, and even though we saw Rockchip SAPPHIRE evaluation board going for $75 its was a time-limited promotion, and the normal price is around $150. I’m pleased to report Pine64 will soon launch RockPro64 boards powered by Rockchip RK3399 or the recently announced RK3399Pro with an NPU for around $60 and up. There will be three versions of the board that will only differ by the processor, or RAM capacity: SoC (one or the other) Rockchip RK3399 hexa-core processor with 2x ARM Cortex A72 cores up to 2.0 GHz, 4x […]

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

Mycroft Mark II Smart Speaker / Voice Assistant Works with Open Source Software (Crowdfunding)

Smart speakers have gain a lot of traction over the last few years, but many of the solutions are based on Google Assistant or Amazon Alexa voice services, with both companies likely tracking your voice searches the same way they track your online searches to provide a “personalized experience” and sell you products or server ads that match your interests. If you don’t like being tracked that way, a solution is to use an open source voice assistant such as Mycroft, and install it on a Linux computer, Raspberry Pi 3 board, or Android device. The company also introduced Mark I reference hardware platform based on Raspberry Pi 2 in 2015, and while all those hardware options should be fine for the technically inclined, but not really suited to the typical end user, and AFAIK they all lack a microphone array for better hot word detection. So Mycroft has come […]

January 11, 2018January 11, 2018 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Amlogic A113X1 6-Mic Far-Field Devkit is Designed for Amazon Alexa

Allwinner unveiled their SoC-Only 3-Mic Far-Field Development Kit for Amazon AVS last week, but they are now joined by another low cost silicon vendor as Amlogic has just launched their own A113X1 far-field dev kit officially support for Amazon Alexa Voice Service (AVS). The development kit is powered by Amlogic A113X SoC designed for such applications with “an audio pipeline that supports high fidelity audio with soft DSP algorithms for both frontend and backend processing”. Amlogic A113X1 far-field devkit specifications: Mainboard SoC – Amlogic A113X quad core Cortex A53 processor System Memory – 512MB DDR3 Storage – 512 MB NAND flash Connectivity – SDIO WiFi/BT (AP6356S) Audio SPDIF_IN jack LINE_IN/LINE_OUT jacks 2x Audio headers (MIC_Connector & SPK_Connector) USB – 1x micro USB 2.0 OTG port Expansion – SPI header Misc – 6x ADC Keys, IR_IN/IR_OUT, UART Interface (RS232), LEDs Power Supply – 12V/2A Microphone board 6x digital microphones in […]

January 8, 2018 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA Xavier AI SoC Now Sampling, DRIVE IX & DRIVE AR SDKs Announced

Well over a year ago, NVIDIA introduced Xavier, their next generation self-driving and artificial intelligence processor, with eight custom ARM cores, a 512-core Volta GPU, and support for 8K video encoding and decode. A few months ago, the company provided some more details and unveiled NVIDIA DRIVE PX Pegasus A.I. computer for level 5 autonomous driving with two Xavier processors and two NVIDIA next-generation GPUs delivering a total 320 TOPS of computing power. For that it’s worth, 320 TOPS is about 3200 times more powerful than Intel Movidus Neural Network Compute Stick. CES 2018 has now started, and NVIDIA made several announcement related to gaming and automotive markets, and confirmed Xavier is now sampling to select customers. What’s really new from the announcement is the addition of two new SDKs (software development kits) for the processor beside the original NVIDIA DRIVE AV autonomous vehicle platform: DRIVE IX – Intelligent experience […]