TechNexion Unveils EDM and AXON SoM’s Powered by NXP i.MX8M Plus SoC

A few days ago we wrote about Variscite’s NXP i.MX 8M Plus-powered AI systems-on-modules and devkits, and now it’s TechNexion’s turn to introduce its own SoM’s for artificial intelligence applications. Just like variscite, the company has two variants with EDM-G-IMX8M-PLUS following the EDM standard with a 260-pin edge connector, and AXON-E-IMX8M-PLUS part of the AXON family with board-to-board connectors better suited to vibration-prone applications. Besides the form factor and different default storage  capacities, both SoM’s share the same specifications: SoC – NXP i.MX8M Plus quad-core Cortex-A53 processor @ up to 1.8 GHz with Cortex-M7 real-time core @ 400 MHz, Vivante GC520L 2D GPU, Vivante GC7000UL 3D GPU, 1080p60 hardware decoder (HEVC, H.264, VP9, and VP8) and encode (H.265/H.264), and 2.3 TOPS NPU System Memory – Up to 8 GB LPDDR4 Storage AXON-E-IMX8M-PLUS – 32 GB eMMC flash by default EDM-G-IMX8M-PLUS – 16 GB eMMC flash by default Networking Chips Qualcomm Atheros AR8035 Gigabit Ethernet transceiver Optional Qualcomm Atheros QCA9377 Wi-Fi …

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MYIR launches FZ5 EdgeBoard AI Box for AI on the Edge

Back in July of this year (2020), MYRI technology announced the MYIR’s FZ3 deep learning accelerator card powered by the Xilinx Zynq UltraScale+ ZU3EG Arm FPGA MPSoC and it is capable of delivering up to 1.2TOPS computing power. With only a few months since that launch, MYRI technology is now announcing another two related sets of products – FZ5 EdgeBoard AI Box and the FZ5 Card. The FZ5 EdgeBoard AI Box is an AI-focused computing platform that is based on the FZ5 AI Accelerator card which is an upgrade of the FZ3 card. The FZ5 looks more like a single board computer than an actual computing card. The FZ5 accelerator is powered by the Xilinx Zynq UltraScale+ ZU5EV MPSoC which features a 1.5 GHz quad-core Arm Cortex-A53 64-bit application processor, a 600MHz dual-core real-time Arm Cortex-R5 processor, a Mali400 embedded GPU and is capable of delivering up to 2.4 TFLOPS as compared to the predecessor FZ3’s 1.2 TFLOPS based on the Xilinx …

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Microchip SAMD21 Machine Learning Evaluation Kits Work with Cartesiam, Edge Impulse and Motion Gestures Solutions

While it all started in the cloud Artificial Intelligence is now moving at the very edge is ultra-low power nodes, and Microchip has launched two SAMD21 Arm Cortex-M0+ machine learning evaluation kits that now work with AI/ML solutions from Cartesiam, Edge Impulse, and Motion Gestures. Bot machine learning evaluation kits come with SAMD21G18 Arm Cortex-M0+  32-bit MCU, an on-board debugger (nEDBG), an ATECC608A CryptoAuthentication secure element, ATWINC1510 Wi-Fi network controller, as well as Microchip MCP9808 high accuracy temperature sensor and a light sensor. But EV45Y33A development kit is equipped with an add-on board featuring Bosch’s BMI160 low-power Inertial Measurement Unit (IMU), while EV18H79A features an add-on board with TDK InvenSense ICM-42688-P  6-axis MEMS. The photo above makes it clear both SAMD21 machine learning evaluation kits rely on the same baseboard with a MikroBus socket connected to either 6DOF IMU 2click or 6DOF IMU 14 click add-on board from MikroElektronika. Both boards are similar, but the latter was just released this …

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NXP i.MX 8M Plus AI Systems-on-Modules and Devkits Launched by Variscite

NXP i.MX 8M Plus processor was unveiled at the very beginning of the year as the first i.MX processor with AI hardware acceleration provided by a 2.3 TOPS Neural Processing Unit (NPU) embedded in the chip. Apart from the upcoming Wandboard 8MPLUS SBC, we had not seen hardware powered by the new processor, but Variscite has now announced two NXP i.MX 8M Plus systems-on-modules – VAR-SOM-MX8M-PLUS and DART-MX8M-PLUS – and corresponding development kits. VAR-SOM-MX8M-PLUS CPU Module & Development Kit Specifications: SoC – NXP i.MX 8M Plus single, dual or quad-core Cortex-A53 processor clocked at up to 1.6 (Industrial/Extended) or 1.8GHz (Commercial), Cortex-M7 real-time core @ 800 MHz, 1080p H265/H264 encode/decode, AI/ML acceleration up to 2.3 TOPS, GC7000UL 3D GPU, GC520L 2D GPU System Memory – 1 to 4GB LPDDR4 Storage – 8 to 64GB eMMC flash Networking – 802.11 ac/a/b/g/n + BT 4.2/BLE module SO-DIMM Edge Connector Storage I/F – 1x SD / MMC, 1x QSPI Video Output HDMI 2.0a …

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CrowPi2 Raspberry Pi 4 Education Laptop Review

I started my review of CrowPi2 Raspberry Pi 4 Learning Kit a while ago and at the time I showed content from the kit and its first boot. I’ve now spent more time with this very special Raspberry Pi 4 laptop and will focus this review on the education part, namely CrowPi2 software, but will also look at thermal cooling under stress with and without a fan, and try to install another Raspberry Pi compatible board inside the laptop shell. CrowPi2 Education Software It’s quite important to read the user manual before getting started as there are a few non-intuitive steps you may have to take. First I assume the wireless keyboard would just connect after pressing the power button, but it did not. The user manual explains the RF dongle is inside the mouse, and once you connect it you’ll be able to use the keyboard that has some battery charge out of the box, and can be charged …

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Intel Launches 11th Gen Intel Core “Tiger Lake” Processors with Intel Iris Xe graphics

Intel has officially launched Tiger Lake processors for thin-and-light Laptops. The new 11th generation processors come with either Intel Iris Xe graphics or the older Intel UHD graphics, and nine processors are currently available divided into two families: UP3 with 12W to 28W configurable TDP, and UP4 with 7W to 15W configurable TDP. Manufactured with a 10nm process, the new processors are said to deliver up to 2.7x faster content creation (Photo Editing), more than 20% faster office productivity in Office 365, and more than 2x faster gaming plus streaming when comparing an Intel Core i7-1185G7 processor to AMD Ryzen 7 4800U. The new Intel Iris Xe graphics comes with up to 96 EUs and up to 16MB of L3 cache, and Intel claims it outperforms 90% of the discrete graphics usually paired with U-series processors. Tiger Lake processors also integrate a new DP4a instruction set for neural network inferencing on integrated graphics with Intel DL Boost and native support …

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Kneron KL720 Arm Cortex-M4 AI SoC Delivers 1.5 TOPS at 1.2 Watts

We first came across Kneron AI processors last year, when we covered AAEON M.2 & mPCIe AI accelerator cards powered by Kneron KL520 dual-core Cortex-M4 processor and delivering 0.3 TOP AI acceleration performance at 0.5 Watt. The company has now introduced a more powerful processor with Kneron KL720 single Arm Cortex-M4 AI processor delivering up to 1.5 TOPS at 1.2 Watts, or 0.9 TOPS for 1 Watt. The company does not provide much other information in terms of specifications, but Kneron KL720 is said to be two to four times more power-efficient than competitors at a lower cost and is best suited for high-end IP cameras, Smart TVs, AI glasses & headsets, as well as AIoT Gateways. The processor can process 4K images, full HD videos, and 3D sensing data for facial recognition and gesture control for gaming, shopping kiosks, etc.. Besides computer vision, the chip can also handle natural language processing (NLP) for translators and AI assistants. If you …

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VIA Pixetto Hi3518E V300 HD Camera Board Targets Artificial Intelligence and Machine Learning Education

VIA Technologies has launched the VIA Pixetto vision sensor aims to teach artificial intelligence (AI) and machine learning (ML) to students aged twelve and above. The Linux board features an Hisilicon Hi3518E V300 Cortex-A7 HD camera SoC combined with 64MB RAM, 128MB SPI flash, a MicroSD slot, as well as GalaxyCore GC2053 2M CMOS sensor offering 1920 x 1080 resolution and a 130° field of view. VIA Pixetto hardware specifications: SoC – Hisilicon Hi3518E V300 Cortex-A7 HD camera SoC @ 900 MHz with H.264, H.265, MJPEG/JPEG encoder System Memory – 64MB DDR, MicroSD card slot Storage – 128MB SPI flash Camera – GalaxyCore GC2053 2M CMOS sensor with 1920 x 1080 resolution,  130° FoV Audio – Microphone USB – 1x Micro USB 2.0 port Connectivity – WiFi 4 via Hisilicon Hi1131 low-power Wi-Fi chip  and ceramic antenna Expansion – Grove connector Misc – 3x LEDs (Power, OS boot, active status), 1x reset button Power Supply 5V/500mA via Micro USB port …

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