Arm Techcon 2019 Schedule – Machine Learning, Security, Containers, and More

Arm Techcon 2019

Arm TechCon will take place on October 8-10, 2019 at San Jose Convention Center to showcase new solutions from Arm and third-parties, and the company has now published the agenda/schedule for the event. There are many sessions and even if you’re not going to happen it’s always useful to checkout what will be discussed to learn more about what’s going on currently and what will be the focus in the near future for Arm development. Several sessions normally occur at the same time, so as usual I’ll make my own virtual schedule with the ones I find most relevant. Tuesday, October 8  09:00 – 09:50 – Open Source ML is rapidly advancing. How can you benefit? by Markus Levy, Director of AI and Machine Learning Technologies, NXP Over the last two years and still continuing, machine learning applications have benefited tremendously from the growing number of open source frameworks, tools, and libraries to support edge inferencing. These include CMSIS-NN, ARM …

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Google Fuchsia Operating System Gets its own Developer Website

Fuchsia Documentation

Google has been developing Fuchsia open source operating system based on Zircon kernel for several years. It’s still unclear what’s the end goal. Will it replace Android or/and Chrome OS, ditching the Linux kernel for Zircon in the process? We don’t know, and Google claims its an experimental endeavor. Only the future will tell. We’ve had access to the source code since 2016,  but Google has now launched a dedicated developer website for Fuchsia: fuchsia.dev This is year 2019, and Google being a Western company it should not be surprising the first part of the documentation is a Code of Conduct, but there’s also plenty of technical documentation with a glossary, getting started guide, building instructions, an overview of the OS, code samples, and instructions to contribute either by testing or submitting changes to Gerrit. Fuchsia is strictly a 64-bit operating system at this stage with support for Arm64 and x86-64 ISA only. If you want to test drive Fuchsia …

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ASUS Tinker Edge T & CR1S-CM-A SBC to Feature Google Coral Edge TPU & NXP i.MX 8M Processor

ASUS CR1S-CM-A SBC

A few months ago, Google introduced its Coral development board and USB accelerator powered by their Edge TPU delivering up to 4 TOPS and optimized for Tensorflow Lite. ASUS and Google have now partnered to bring more solutions powered by Coral Edge TPU namely ASUS Tinker Edge T board for makers and hobbyists, CR1S-CM-A SBC for industrial projects, and even a full computer fitted with a Google Edge TPU PCIe card. ASUS Tinker Edge T ASUS Tinker Edge T preliminary specifications: SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core,  GC7000 Lite 3D GPU ML accelerator – Google Edge TPU co-processor System Memory – 1GB LPDDR4 RAM Storage – 8 GB eMMC flash Connectivity – Gigabit Ethernet port, Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz), and Bluetooth 4.1 Video Output – MIPI DSI connector, and HDMI output Camera I/F – 2x MIPI CSI 2 interfaces for stereoscopic camera applications USB – 2x USB 3.0 ports, 1x USB-C …

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Google Pik Image Format Improves on Lossy JPEG and Lossless PNG

Google Pik butteraugli

JPEG lossy compression is still used on most photos in the Internet, while PNG is still the preferred format for lossless compressions. Back in 2010, Google unveiled WebP to improve on both, but that’s only very recently that I started to see a few webp image on the Internet. The company has been working on yet another image for with Pik lossy/lossless image format designed for high quality and fast decoding. Some of the features enabling high quality: Built-in support for psychovisual modeling via adaptive quantization and XYB color space 4×4..32×32 DCT, AC/DC predictors, chroma from luma, nonlinear loop filter, enhanced DC precision Full-precision (32-bit float) processing, plus support for wide gamut and high dynamic range Features allowing faster decoding over 1 GB/s multi-threaded: Parallel processing of large images SIMD/GPU-friendly, benefits from SSE4 or AVX2 Cache-friendly layout Fast and effective entropy coding: context modeling with clustering, rANS Google Pik is royalty-free, and is said to achieve perceptually lossless encodings at …

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Google Glass Enterprise Edition v2 Features Snapdragon XR1 Processor

Google Glass Enterprise Edition v2

To be honest, I was pretty happy when it was clear that smart glasses for the consumer market would not take off, and I would be living in a better, smart glasses-free, world. But I also reckoned that those could have use in professional settings, and Google Glass Enterprise edition was first spotted in 2015 with an Atom processor. The company has now launched an upgraded model with Google Glass Enterprise Edition v2 powered by Qualcomm Snapdragon XR1 eXtended reality (XR) platform. Google Glass Enterprise Edition v2 specifications: SoC – Qualcomm Snapdragon XR1 quad-core Kryo processor @ 1.7GHz with Adreno GPU, Qualcomm AI Engine for on-device processing; 10nm manufacturing process System Memory – 3GB LPDDR4 Storage – 32GB eMMC flash storage Display – 640×360 Optical Display Module Audio out – Mono Speaker, USB audio, BT audio Microphones – 3 beam-forming microphones Camera – 8MP, 80 DFOV Connectivity – Wi-Fi 5 802.11ac, dual-band, single antenna and Bluetooth 5.x AoA (Angle of …

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Espressif Rolls out ESP32 Boards for Microsoft Azure IoT & Google Cloud IoT Core Services

ESP32 Azure IoT Kit

Espressif ESP32 WiFi & Bluetooth processor is pretty versatile, and you could connect any ESP32 board to any cloud services with some efforts. But to make things even easier Espressif Systems worked with Microsoft and Google to release versions of ESP32 boards specifically designed to connect to Microsoft Azure IoT or Google Cloud IoT core. Meet ESP32-Azure IoT Kit and ESP32-DevKitC Google Cloud IoT. ESP32-Azure IoT Kit Hardware specifications: Wireless Module – ESP32-WROVER-B WiFi and Bluetooth module Storage – MicroSD card socket Display – 0.96” blue and yellow OLED display driven by SSD1306 I2C driver chip Sensors InvenSense MPU6050 motion sensor NXP MAG3110 magnetometer FBM320 barometer STMicro HTS221 humidity & temperature sensor ROHM BH1750FVI light sensor Expansion – 16-pin header Debugging – USB to UART bridge for serial debugging & programming Misc – Reset button, user button, 2x charge LED’s, 2x user LED’s, 1x passive buzzer Power Supply – 5V via micro USB port; 3-pin header for LiPo battery; charging …

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Google OTT Turnkey Solution to Deliver Fast-to-Market Pre-Certified 4K HDR Dongles

Google OTT Turnkey

Despite Google offering Android TV for an optimized big screen experience, many TV boxes are still running a heavily modified version of Android for smartphone, since it’s not that trivial for manufacturers and TV operators to get certification for Android TV. Operators normally just want their own branded hardware with their own streaming app and/or launcher, and “Google OTT Turnkey” aims to help this section of the market by providing pre-certified OTT (Over-The-Top) hardware with low investment and a quick time to market. The dongle/TV box will come with a voice remote control, include certified for Google services and Netflix, receive firmware from Google, while still allowing operators’ customization. The solution would allow a time to market of about 2 to 3 months. We learned about Google OTT Turnkey in the first part of “the Android TV Workshop” at the Connected TV World Summit 2019. The solution is quickly mentioned at the 6:03 mark. That’s not an awful lot of …

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Google to Launch Edge TPU Powered Coral Development Board and USB Accelerator

Coral Dev Board

Several low power neural network accelerators have been launched over the recent years in order to accelerator A.I. workloads such as object recognition, and speech processing. Recent announcements include USB devices such as Intel Neural Compute Stick 2 or Orange Pi AI Stick2801. I completely forgot about it, but Google also announced their own Edge TPU ML accelerator, development kit, and USB accelerator last summer. The good news is that Edge TPU powered Coral USB accelerator and Coral dev board and are going to launch in the next few days for respectively $74.99 and $149.99. Coral Development Board Coral dev board is comprised of a base board and SoM wit the following specifications: Edge TPU Module SoC – NXP i.MX 8M quad core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core,  GC7000 Lite 3D GPU ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS System Memory – 1 GB LPDDR4 RAM Storage – 8 GB eMMC Flash …

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