CNX Software - Embedded Systems News

February 28, 2018 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

NXP i.MX 8M Mini Low Power Cortex A53/Cortex M4 Processor to be Manufactured using 14LPC FinFET Process Technology

NXP i.MX 8, i.MX 8M, and i.MX 8X processors are barely available, but the company has already announced another member of their i.MX8 family with i.MX 8M Mini processors with one to four Cortex A53 application cores, one Cortex-M4F real-time core, 2D/ 3D graphics accelerator, and support for 1080p video playback and output. Apart from the lack of 4K support, that looks about the same as i.MX 8, but there’s one important difference: the manufacturing process. i.MX 8M Mini processors are manufactured using 14LPC FinFET process technology allowing the Cortex A53 cores to reach 2.0 GHz, and the Cortex-M4F core can be clocked up to 400+ MHz. Some video interfaces have also been removed from the new processor such as embedded DisplayPort and HDMI 2.0a. NXP i.MX 8M Mini key features: Application cores – One to four Arm Cortex-A53 cores up to 2GHz Real-time core – Arm Cortex-M4 at speeds […]

February 28, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Snapdragon 700 Mobile Platform Series To Bring On-Device Artificial Intelligence to Mid-Range Smartphones

Qualcomm has announced a new family filling the gap between the mid-range Snapdragon 600 series, and the high-end Snapdragon 800 series, with Snapdragon 700 mobile platform series which will include on-device AI supported by the Qualcomm Artificial Intelligence (AI) Engine, as well as improvements to camera, device performance and power through Qualcomm Spectra ISP, Kyro CPU, Hexagon Vector Processor and Adreno Visual Processing subsystem (Yes, Qualcomm has a new name for everything, as GPU is now VPS). Snapdragon 700 Mobile Platform Series highlights: Artificial Intelligence – Multi-core Qualcomm AI Engine delivering up to 2x improvements for on-device AI applications compared to the Snapdragon 660 Mobile Platform. Camera – Qualcomm Spectra ISP will allow for better photos in different lighting conditions, slow motion capture, and improvements thanks to AI processing. Performance and Battery life – The new Qualcomm Spectra ISP, Kryo CPU and Adreno Visual Processing subsystem in 700 series will […]

February 28, 2018February 28, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

UP Core Plus Board To Support AI Plus FPGA and AI Net Ethernet Expansion Boards

We’ve just written about UP AI Core mPCIe card part of the new AI Edge family from UP Board, but other members will soon be released including UP Core Plus board, that builds upon UP Core Cherry Trail board launched last year, with a choice of Intel Atom x5/x7, and Celeron/Pentium Apollo Lake processors. The form factor is different, but just like the first UP Core board, the Core Plus board supports expansion boards via docking connectors such as the Net Plus Ethernet expansion, and the AI Plus expansion board with Intel Cyclone 10 GX FPGA. UP Core Plus specifications: SoC (one or the other) Intel Atom x5-E3940 (2M Cache, up to 2.00 GHz) Intel Atom x7-E3950 (2M Cache, up to 2.00 GHz) Intel Celeron N3350 (2M Cache, up to 2.50 GHz) Intel Pentium N4200 (2M Cache, up to 2.50 GHz) System Memory – 2GB, 4GB or 8GB on-board DDR4L-2400 […]

February 28, 2018February 28, 2018 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

$70 UP AI Core mini PCIe Card Features Intel Movidius Myriad 2, Supports Tensorflow and Caffe Frameworks

AAEON’s Up Board has given us some affordable Intel development boards over the years with products such as the Cherry Trail based UP Board, or Apollo Lake powered UP Squared board among others, that are competitively priced against equivalent Arm development boards. The company has now launched a new UP AI Edge family, which will include hardware based on Intel Altera FPGA or Intel Movidius VPU (Vision Processing Unit). Their first product is based on the latter, more exactly Movidius 2 2450 VPU, and instead of being a standalone board, UP AI Core is a mini PCIe card that can fit into any 64-bit Intel board or computer. UP AI Core card specifications: SoC – Intel Movidius Myriad 2 2450 VPU System Memory – 512MB DDR SDRAM Mini PCIe edge connector Dimensions – 51 x 30 mm Host computer/board requirements System Memory – 1GB RAM or more Storage – 4GB […]

February 28, 2018January 19, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Nitrogen8M Single Board Computer with NXP i.MX 8MQuad Processor Comes with Up to 4GB RAM, 128 GB Storage

Boundary Devices Nitrogen6X was one of the first boards based on Freescale i.MX 6 processor when it launched in 2012, and even I never owned their board personally, I liked the fact the company published frequent updates about software development on their blog. With NXP i.MX 8 processors now officially available, the company introduced an update to their SBC with Nitrogen8X powered by NXP i.MX 8MQ quad-core processor, with 2 to 4 GB LPDDR4 RAM, 8 to 128 GB flash, a certified wireless module for WiFi and Bluetooth, and more. The form factor has changed dramatically, however. Nitrogen8M specifications: SoC – NXP i.MX 8MQuad ((Dual, QuadLite available on request) with four Cortex A53 core @ up to 1.5 GHz, one Cortex-M4F real-time core, and a Vivante GC7000Lite 2D/3D GPU System Memory – 2 or 4GB LPDDR4 (2GB standard) Storage – 16MB QSPI NOR Flash, 8GB eMMC flash (expandable to 128 […]

February 28, 2018March 1, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Eagleye 530s Board Features Samsung Artik 530s IoT Module, Leverages Raspberry Pi Form Factor

Samsung Artik 530 is a module designed for the Internet of Things based on a quad core Arm Cortex A9 processor, and supporting Ethernet, dual band WiFi, Bluetooth 4.2, and 802.15.4/Zigbee/Thread connectivity, as well as exposing display and camera interfaces, and of course various I/Os. The module was launched about one year ago with a developer kit that cost $189 and up, but Samsung has now worked with Seeed Studio to launch a cheaper developer board – called Eagleye – based on the secure version of the module (Artik 530s) and mostly following Raspberry Pi form factor in order to take advantage of its hardware ecosystem. Eagleye 530s board specifications: SoC – Unnamed quad core Arm Cortex A9 processor @ 1.2GHz with 3D graphics accelerator System Memory – 1GB DDR3 Storage – 4GB eMMC flash, SD card slot Connectivity 802.11a/b/g/n dual band SISO (2.4G/5G) Bluetooth 4.2(BLE+Classic) Zigbee/Thread 802.15.4 Gigabit Ethernet […]

February 27, 2018April 14, 2021 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

GreenWaves GAP8 is a Low Power RISC-V IoT Processor Optimized for Artificial Intelligence Applications

GreenWaves Technologies, a fabless semiconductor startup based in Grenoble, France, has designed GAP8 IoT application processor based on RISC-V architecture, and optimized for image and audio algorithms including convolutional neural network (CNN) inference with high energy efficiency thanks to an 8-core computational cluster combined with a convolution hardware accelerator. The design is based on RISC-V based Parallel Ultra Low Power (PULP) computing open-source platform. The new processor targets industrial and consumer products integrating artificial intelligence, and advanced classification such as image recognition, counting people and objects, machine health monitoring, home security, speech recognition, consumer robotics, wearables and smart toys. Some of GAP8 processor specifications: 1x extended RISC-V fabric controller core with 16 kB data and 4 kB instruction cache for system control 8x extended RISC-V compute cores with 64 kB shared data memory and 16 kB shared instruction cache 1x Hardware optimized synchronization unit 1x Hardware Convolution Engine (HWCE) Multi […]