NXP i.MX RT106F & RT106A/L Cortex-M7 Processors Target Offline Face Recognition & Smart Audio Applications

NXP i.MX RT crossover processors combine real-time capabilities of microcontrollers with the performance of application processors thanks to an Arm Cortex-M7 core clocked at 528 MHz and more. The performance is indeed impressive as shown by Teensy 4.0 benchmarks, but so far NXP i.MX RT processor targeted general purpose applications. The company has now introduced three new crossover processors designed for AI applications. NXP i.MX RT106F is designed for offline face recognition and expression Identification, while RT106L and RT106A are made for local and cloud-based embedded voice applications. NXP i.MX RT106F Processor Highlights of the processor: CPU – Arm Cortex-M7 @ 600 MHz (3020 CoreMark/1284 DMIPS) Memory – 1 MB On-Chip SRAM plus up to 512 KB configurable as Tightly Coupled Memory (TCM) External memory interface options – NAND, eMMC, QuadSPI NOR Flash, and Parallel NOR Flash Real-time, low-latency response as low as 20 ns Industry’s lowest dynamic power with an integrated DC-DC converter Low-power run modes at 24 MHz …

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AndesCore N22 RISC-V Core Supports RV32IMAC or RV32EMAC Instruction Sets

Andes N22 RISC-V vs Arm Cortex M3 / M0+

We covered Gigadevice GD32V general-purpose microcontroller with a RISC-V “Bumblebee” core last week, and I was informed that Andes Technology had recently introduced AndesCore N22 RISC-V “Bumblebee” IP core capable of supporting either RV32IMAC or RV32EMAC instruction sets. A web search did not reveal any specific information about what “Bumblebee” RISC-V cores are exactly, or maybe it’s in reference that many can be coupled in parallel. But that’s just a small detail, let’s check out in some details what AndesCore N22 core has to offer. The RISC-V core is designed for entry-level MCUs found in IoT devices and wearables, and is capable of deeply embedded protocol processing for I/O control, storage, networking, AI and AR/VR. Highlights of AndesCore N22: AndeStar V5 (RV32IMAC) / V5e (RV32EMAC) Instruction Set Architecture (ISA), compliant to RISC-V technology plus Andes extensions architectured for performance and functionality enhancements 32-bit, 2-stage pipeline CPU architecture 16/32-bit mixable instruction format for compacting code density Branch prediction to speed up …

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GigaDevice Releases GD32V RISC-V MCU and Development Boards

GD32VF103 RISC-V General Purpose MCU

A few years ago, we came across GigaDevice GD32 microcontroller compatible with STMicro STM32F103, but with a higher 108 MHz clock, and zero wait state internal flash. The MCU was also a drop-in replacement for the STMicro alternative since beside being software compatible, it was also pin-to-pin compatible. The company is now back with a new microcontroller, but it’s not Arm-based. Instead, GigaDevice GD32V is based on RISC-V open source architecture. GD32V General Purpose RISC-V MCU GigaDevice GD32V is a 32-bit RISC-V general-purpose MCU that targets industrial and consumer applications such as IoT, edge computing, artificial intelligence and “vertical industries”. The new GD32VF103 series RISC-V MCU family features 14 models with the following key specifications: Core – GD32VF103 32-bit rv32imac RISC-V “Bumblebee Core” @ 108 MHz Memory – 8KB to 32KB SRAM Storage  – 16KB to 128KB flash Peripherals – USB OTG and CAN 2.0B I/O – 3.3V, 5V tolerant Supply Voltage – 2.6 to 3.6V Package – QFN36, LQFP48, …

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Qt for MCUs – Qt Announces support for Microcontrollers

QT_TitleImage1

[Update August 24, 2019: Added information about expected release date and license] About Qt for MCUs Qt- The well known opensource toolkit for creating graphical interface announced their new release: Qt for MCUs, targeting MCU’s. The new graphical toolkit will be capable of running on devices without operating system. This may be a game changer in the entire MCU world, since Qt for MCUs allows developers to create fluid user interfaces on cost-effective micro controllers. This means we will be able to see smartphone like GUI’s which are running on low-end  MCU’s with limited resources. With reference to their press release, assuring that Qt-GUI will consume less power to save the battery life. Qt for MCUs Software Stack While developing any applications for MCU,  developers still can use their powerful declarative UI language QML and rich set of ready-made Qt Quick controls.  And the C++ APIs, helps the user interface with C++  based back-end. applications are being rendered by Qt’s …

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Padauk PMS150C “3 Cents” MCU Supports SDCC Open Source Toolchain

PMS150C 3 cents MCU

Back in 2016, I tried to find the cheapest MCU, and discovered Holtek HT48R002 8-bit RISC MCU @ 8MHz with 1K x 14-bit OTP memory, and 64 bytes of RAM that was selling for around 8.5 cents per unit for 1k orders at the time, and about the same now. But this morning, I read a post about sub-10-cents microcontrollers where cpldcpu details offering of several mostly little known vendors including Bojuxing Industrial, Eastsoft Micro, or Puolop. But Paudauk PMS150C especially caught my attention since price starts at $0.033, or 3 cents, and EEVBlog community has been working on getting SDCC open-source toolchain to work on the MCU. PMS150C MCU specifications: CPU – Processing unit with 79 “powerful” instructions Memory – 64 Bytes data RAM Storage – 1KW (1K x 14-bit) OTP program memory Peripherals 1x hardware 16-bit timer; 1x hardware 8-bit timer with PWM generation 1x general purpose comparator Up to 6x I/O pins with optional drive/sink current and …

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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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SAMD21 MINI / Wemos D1 SAMD21 M0 Mini Development Board Sells for $7 and Up

SAMD21 Mini Development Board

Microchip / Atmel SAMD21 Arm Cortex-M0+ microcontroller has been around for several years, and we covered various boards based on the MCU include the official Arduino Zero launched in 2014, Arduino Tian, and the tiny SAM 15×15 or Exen Proto boards among others. Another SAMD21 development board has now shown up on Electrodragon website: SAMD21 Mini Development Board sold for $14.50 on the website, but you’ll also find it, under the RobotDyn or Wemos brand on Aliexpress for $7.05 and up. SAMD21 Mini Board / WeMos D1 SAMD21 M0 Mini Specifications: MCU – Microchip ATSAMD21G18 Arm Cortex-M0+ microcontroller @ 48 MHz with 32KB data RAM, 256KB flash USB – 1x micro USB port for power and programming Expansion 2x 14-pin headers with 19x digital I/O (including 12x PWM), 6x Analog I/O 3.3V logic level Programming – 6-pin ISCP connector Misc – Power, Tx and Rx LED’s, button Power Supply Input – 5V via micro USB port or VIN Output – …

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GAPPoc AI development boards based on the GAP8 RISC-V Chip

GreenWaves has developed a development board based on the GAP8 chip which can be evaluated from a GAPuino board, a generic board that can run off a low power external power source or USB and is compatible with the Arduino ecosystem.  Recently the company moved beyond the generic board to the GAPPoc, platform which stands for GAP8 Proof of Concept. The GAPPoc is focused on a class of applications which can be embedded on a single board and able to carry hardware such as crystal or external memory, sensors, a radio fit, and a battery. The board will be geared towards a set of low power functions for a particular class of applications.  This is a family of boards designed to increase the range of abilities in edge Artificial Intelligence.  At this time there is only a single board with a platform to enhance AI, targeting Computer Vision in the visible spectrum. The variant that has been developed is the …

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