artificial intelligence News - CNX Software

October 22, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

BrainChip AKD1000 SNN AI SoC gets Raspberry Pi and x86 development kits

Brainchip Akida Raspberry Pi & Mini PC devkits

BrainChip has introduced two development kits for its Akida AKD1000 neuromorphic processor based on Raspberry Pi and an Intel (x86) mini PC in order to enable partners, large enterprises, and OEMs to begin testing and validation of the Akida chip. BrainChip Akida neural relies on spiking neural networks (SNN) which enable high-performance, real-time inference at ultra-low power, notably much lower power than traditional AI chips relying on CNN (convolutional neural network) technology. Akida Development Kit based on Raspberry Pi CM4 Specifications: SoM – Raspberry Pi CM4 or CM4 Lite with SoC: Broadcom BCM2711C0 quad-core ARM Cortex-A72 (ARMv8-A) 64-bit @ 1.5GHz plus Broadcom VideoCore VI GPU RAM – 1GB, 2GB, 4GB, or 8GB LPDDR4 SDRAM Storage – MicroSD card for CM4 Lite, or 2GB to 32GB eMMC for CM4 Networking – Optional 2.4 GHz and 5 GHz 802.11b/g/n/ac Wi-Fi, Bluetooth 5.0 LE, Gigabit Ethernet PHY Carrier board – Official Raspberry Pi […]

October 11, 2021October 11, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

M5Stack UnitV2 AI module gets USB camera and M12 camera versions

M5Stack UnitV2 is an ultra-compact Linux AI camera powered on Sigmastar SSD202D SoC with a dual-core Cortex-A7 processor @ 1.2 GHz, and 128MB on-chip DDR3 that was launched in April 2021 with a Full HD camera featuring a 68° field-of-view. M5Stack has now introduced two new models, one called M5Stack UnitV2 USB without any camera at all, instead relying on an external USB UVC camera, and the other named M5Stack UnitV2 M12 equipped with an M12 socket and shipping with both a normal focal length camera with an 85° FoV and wide-angle focal length with a 150° FoV. M5Stack UnitV2 USB M5Stack Unitv2 USB specifications: SoC – SigmaStar SSD202D dual-core Cortex-A7 processor @ 1.2 GHz with 128MB on-chip DDR3 Storage – 512MB on-chip NAND flash with around 100MB free space, MicroSD card socket Camera – N/A Audio – Built-in microphone Connectivity – 2.4GHz WIFi 4 up to 150 Mbps (RTL8188FTV), […]

October 6, 2021October 19, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Mini Pupper – Raspberry Pi 4-based robot dog teaches ROS, SLAM, navigation, computer vision (Crowdfunding)

Mini Pupper is a Raspberry Pi 4 powered robot dog inspired by Stanford Pupper open-source quadruped robot, and designed in “light collaboration” with Nathan Kau, the original creator of Stanford Pupper. Just like the original design, MangDang’s Mini Pupper is open-source, based on Ubuntu and ROS (Robot Operating System), and designed for robotics education in schools, homeschool families, enthusiasts and others, with notably students being able to learn out to use ROS, SLAM, navigation, and OpenCV computer vision through online courses that will come with the robot. Mini Pupper key features and specifications: SBC – Raspberry Pi 4 Model B with 2GB RAM Storage – 2GB microSD card Display – 320×240 LCD for facial animation Camera – Support for OpenCV AI Kit Lite 12 DOF via MangDang’s custom servos Optional Lidar module for SLAM (Simultaneous localization and mapping) Battery – 800 mAh Charger – Input voltage – 100-240V AC 50/60Hz, […]

October 5, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

miriac AIP-LX2160A 16-core embedded platform delivers up to 130 TOPS with 5 Hailo-8 modules

MicroSys Electronics miriac AIP-LX2160A embedded platform combines a 16-core Cortex-A72 NXP LX2160A networking processor with up to five Hailo-8 AI accelerator modules delivering up to 130 TOPS of AI inference performance. The board supports up to 128 GB RAM, up to 4x SATA hard drives, up to 100GbE connectivity, and appears to be especially suited to applications with multiple IP video streams requiring real-time video analytics. miriac AIP-LX2160A specifications: SoC – NXP Layerscape LX2160A with 16 Arm Cortex-A72 cores @ up to 2.2 GHz AI accelerators – 2x Hailo-8 M.2 AI Acceleration Modules, upgradeable to up to 5 Modules via NGFF M.2 Key M card System Memory – Up to 128 GB DDR4 RAM & optional ECC, up to 3200MT/sec, up to 4 ranks (combined design: 2x discrete & 2x SODIMM) Storage 4x SATA III ports Up to 256 GB eMMC 5.1 flash, additional eMMC device on carrier board Up […]

October 4, 2021October 4, 2021 by Jean-Luc Aufranc (CNXSoft) - 11 Comments

UDOO KEY ESP32 & RP2040 board launched for $4 (Crowdfunding)

UDOO is known for its x86 boards that embed an Arduino compatible MCU, but the UDOO KEY is different, as it does without an Intel or AMD processor, and instead, combines Raspberry Pi RP2040 microcontroller with Espressif ESP32 WiFi & Bluetooth WiSoC. As we noted in the past combining Raspberry Pi Pico/RP2040 with ESP32 does not make a lot of sense in most cases, but here’s the UDOO KEY will be offered for just $4 for the first 1,000 units, so they’ll basically throw the ESP32 for free since it’s the same price as one Raspberry Pi Pico, before eventually selling the device for $20. UDOO KEY specifications: MCU- Raspberry Pi RP2040 dual-core Arm Cortex-M0+ microcontroller @ 133 MHz with 264KB of on-chip SRAM Storage – 8MB QSPI Flash for RP2040 Wireless module – ESP32-WROVER-E with ESP32-D0WD-V3 dual-core WiFi + Bluetooth SoC, 16MB SPI flash, and 8MB PSRAM Sensor – […]

September 29, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Nicla Sense ME – Arduino PRO meets Bosch SensorTech’s motion and environmental sensors

Arduino is going full steam ahead with its Arduino PRO family of boards for industrial applications. After the announcement of the Portenta H7 Lite board earlier this month, the company has now introduced the Arduino Nicla Sense ME designed in collaboration with Bosch Sensortec. The Nicla Sense ME (Motion & Environment) board comes with a range of Bosch Sensortec sensors notably a 9DoF smart motion sensor and a 4DoF environmental sensor with AI capabilities, and targets industrial IoT applications either for research projects, rapid prototyping, or commercial products. Arduino Nicla Sense ME specifications: MCU – Nordic Semi nRF52832 Cortex-M4 microcontroller @ 64 MHz with 512KB Flash, 64KB RAM, Bluetooth 4.2/5.0 LE connectivity (via U-blox ANNA B112 module) Storage – 2MB SPI flash for storage; 2MB QSPI dedicated for BHI260AP Sensors BHI260AP motion sensor system with integrated AI, “Fuser 2” 32-bit Synopsys DesignWare ARC EM4 core with RISC FPU BMM150 magnetometer […]

September 24, 2021September 23, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA Jetson Nano/Xavier NX carrier board offers 5 SATA, 6 CSI camera, dual GbE, and more

Leetop A205 Jetson Nano/Xavier NX carrier board

Leetop has introduced two carrier boards for NVIDIA Jetson Nano or Xavier NX modules, with Leetop A205 a full-featured carrier board offering five SATA ports, six MIPI CSI camera interfaces, an M.2 Key E slot, dual Gigabit Ethernet, four USB 3.0 ports, dual HDMI output and more, as well as the more compact Leetop A203 about the size of the modules themselves and offering Gigabit Ethernet, HDMI output, USB 3.0/2.0 ports, a camera interface, and an M.2 slot for optional WiFi and Bluetooth connectivity. We’ll focus on the former in this article, as it offers more features, and the smaller board provides less functionality than the NVIDIA Jetson Nano developer kit at a much higher price, although I understand it can still be useful for space-constrained applications. Leetop A205 specifications: Supported SoMs – NVIDIA Jetson Nano and Jetson Xavier NX Module Compatibility Storage – 5x SATA ports, MicroSD card slot […]

September 22, 2021September 22, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

UP Xtreme i11 Edge Compute Enabling Kit supports 5G, WiFi 6, Myriad X AI accelerator cards

UP! Bridge the Gap, a brand belonging to AAEON Technology, has started taking pre-orders for the UP Xtreme i11 Edge Compute Enabling Kit, a mini PC based on the UP Xtreme i11 Edge Tiger Lake SBC that was first introduced last year, and formally launched last month. The mini PC is offered with Celeron 6305E up to Intel Core i7-1185GRE processor, optional DDR4 and SSD, M.2 sockets for 5G, WiFi 6, or an AI accelerator card based on Movidius Myriad X VPU., serial ports, as well as a Phoenix terminal connector to access some of the GPIOs. UP Xtreme i11 Edge Compute Enabling Kit specifications: Tiger Lake “E”/”GRE” SoC (one or the other) Intel Core i7-1185G7GRE quad-core/8-thread processor @ up to 4.4 GHz with 96 EU Intel Iris Xe Graphics; up to 28W TDP (cTDP 15W) Intel Core i5-1145G7GRE quad-core/8-thread processor @ up to 4.1 GHz with 80 EU Intel […]