development board News - Page 64 of 261 - CNX Software

October 12, 2020October 12, 2020 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Linux 5.9 Release – Main Changes, Arm, MIPS & RISC-V Architectures

Linus Torvalds has just announced the release of Linux 5.9 on lkml: Ok, so I’ll be honest – I had hoped for quite a bit fewer changes this last week, but at the same time there doesn’t really seem to be anything particularly scary in here. It’s just more commits and more lines changed than I would have wished for. The bulk of this is the networking fixes that I already mentioned as being pending in the rc8 release notes last weekend. In fact, about half the patch (and probably more of the number of commits) is from the networking stuff (both drivers and elsewhere). Outside of that, the most visible thing is a reinstatement of the fbdev amba-clcd driver – that’s a noticeable patch, but it’s basically just mainly a revert. The rest is really really tiny (mostly some other minor driver updates, but some filesystem and architecture fixes […]

October 9, 2020October 9, 2020 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

$16 Banana Pi BPI-EAI80 Cortex-M4F Board Embeds AI Accelerator, WiFi Module

Banana Pi BPI-EAI80 AI MCU Development Board

Last April, we wrote about Edgeless EAI-Series dual Arm Cortex-M4 MCU equipped with a 300 GOPS CNN-NPU for AI at the very edge as we had discovered the chip in an upcoming Banana Pi board. It turns out Banana Pi BPI-EAI80 development board powered by Edgeless EAI80 AI microcontroller has just launched for $16 on Aliexpress, or you could get a complete kit with a touchscreen display, a camera, and a USB power supply for $80. Banana Pi BPI-EAI80 development board specifications: System-in-Package – Edgeless EIA80 dual-core Cortex-M4F microcontroller @ 200MHz with 300GOPS AI accelerator (CNN-NPU), 384KB of SRAM including 256KB for CNN-NPU, and 8MB SDRAM Storage – SPI flash Display I/F – LCD connector up to 1024×768 Camera I/F – 1x DVP camera interface Audio – 2x onboard microphones Connectivity – 2.4GHz 802.11b/g/n WiFI 4 using ESP8266 module USB – 1x USB 2.0 Type-C port Expansion 40-pin GPIO header […]

October 9, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Renesas Launches RA6M4 Cortex-M33 Microcontrollers for Secure IoT Applications

Arm Cortex-M33 core with Arm Trustzone security was first unveiled in 2016, and since then several silicon vendors introduced secure Cortex-M33 microcontrollers with, for instance, Nordic nRF91 LTE-IoT SoC, STMicro STM32L5 MCU family, or NXP LPC551x/S1x. Renesas has now added one more alternative with RA6M4 Cortex-M33 microcontroller family clocked at up to 200 MHz with increased performance and security compared to their earlier Cortex-M4 RA6 microcontrollers clocked at 120 Mhz. Key features for RA6M4 microcontrollers: MCU Core – Arm Cortex-M33 @ 200 MHz with TrustZone technology Memory – 256 KB RAM include 64KB ECC RAM Storage – 512-1024 embedded flash, QuadSPI, and OctaSPI memory interface Networking – Ethernet controller with DMA USB – USB 2.0 Full Speed and CAN Other Peripherals Capacitive touch sensing unit SCI (UART, Simple SPI, Simple I2C), and SPI/ I2C multi-master interface SDHI and SSI (Serial Sound Interface) Security Renesas’ Secure Crypto Engine supporting multiple symmetric […]

October 8, 2020October 8, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

MAX78000 RISC-V & Cortex-M4F MCU enables IoT artificial Intelligence in battery-powered devices

Now even endpoints like sensors are capable of running basic artificial intelligence workloads thanks to microcontroller-class chips with built-in AI accelerators or instructions such as Kneron KL720 Arm Cortex-M4 AI SoC, GAP8 RISC-V IoT processor, or Cortex-M55 MCU core coupled with Ethos U55 MicroNPU. Maxim Integrated has now launched its own AI capable microcontroller with MAX78000 combining a Cortex-M4F core, a 32-bit RISC-V core, and a CNN accelerator enabling AI inferences at less than 1/100th the energy or 100 times the speed of software solutions making especially suited for battery-powered AI applications. MAX78000 specifications: Ultra-Low-Power microcontrollers Arm Cortex-M4F core with FPU Up to 100MHz with 512KB Flash and 128KB SRAM 32-Bit RISC-V ultra-low-power co-processor up to 60MHz Neural Network Accelerator optimized for Deep Convolutional Neural Networks (CNN) 442k 8bit Weight Capacity with 1,2,4,8-bit Weights Input Image Size up to 1024 x 1024 pixels Network Depth up to 64 Layers Layer […]

October 8, 2020October 8, 2020 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Xilinx Zynq UltraScale+ ZU19EG MPSoC Devkit Offers HDMI 2.0, 10GbE, High-Speed Transceivers

iWave Systems iW-RainboW-G35D is a development kit powered by Xilinx Zynq UltraScale+ ZU19EG Arm Cortex-A53 and FPGA MPSoC coupled with 4GB DDR4 RAM with ECC for the processing system (PS) & 4GB dual-channel DDR4 RAM for the programmable logic (PL). The board is equipped with HDMI 2.0 output/input ports supporting 4Kp60 UHD resolutions, a 10GbE SFP+ cage, FMC+, FMC, FireFly, and QSFP connectors for high-speed transceivers, and more. iW-RainboW-G35D specifications: iW-RainboW-G35M SoM Xilinx Zynq Ultrascale+ ZCU19EG MPSOC (-1 speed) with four Cortex-A53 cores @ 1200 MHz, dual-core Arm Cortex-R5 MPCore up to 600MHz, FPGA fabric with 1,143K logic cells, and Arm Mali-400 MP2 GPU (lower-end ZCU17EG and ZCU11EG MPSoC are also available) System Memory 4GB DDR4 RAM for PS 4GB Dual DDR4 RAM for PL Storage – 8GB eMMC Flash (for boot code) Transceivers PS-GTR Transceivers x 4 @ 6Gbps PL-GTH Transceivers x 32 @ 16.3Gbps PL-GTY Transceivers x 16 […]

October 7, 2020October 8, 2020 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Learn more about Hailo-8 AI accelerator and understanding AI benchmarks

Last week we wrote about Hailo-8 M.2 card delivering up to 26 TOPS of AI performance, and comparing well against Google Edge TPU and Intel Movidius Myriad X both in terms of footprint, performance, and efficiency. I’ve since then had a conference call with Liran Bar, VP of Business Development for Hailo, where we had time to discuss more about Hailo’s AI solutions, and how to interpret & understand AI benchmarks that may be misleading in many instances. Hailo-8 Architecture In the first post, we noted the chip managed to get the extra performance and efficiency thanks to a “proprietary novel structure-driven Data Flow architecture instead of the usual Von Neumann architecture”. But that’s a bit abstract, so Liran told me one of the key reasons for the performance improvement is that RAM is self-contained without the need for external DRAM like other solutions. This decreases latency a lot and […]

October 6, 2020October 6, 2020 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

NVIDIA Jetson Nano 2GB Developer Kit Launched for $54 and up

NVIDIA Jetson Nano Developer kit was introduced in March 2019 for $99. With a quad-core Cortex-A57 processor, a 128-core Maxwell GPU, and 4GB LPPDR4 RAM, it’s a great low-cost AI platform as we wrote in our Jetson Nano getting started guide where we show how to perform inferences on still images and an RTSP video stream. The company has now gone further in providing an affordable AI computer for developers with the launch of NVIDIA Jetson Nano 2GB Developer Kit with similar features except for the 2GB RAM, and pricing starting at $54 without a wireless adapter or $59 with 802.11b/g/n/ac WiFi 5 USB dongle. Pre-orders are open on sites like Amazon or Seeed Studio and shipping is scheduled to start at the end of the month. If we look at the photo above, there are very few differences against the $99 version, and indeed most of Jetson Nano 2GB […]

October 5, 2020February 22, 2021 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

FeatherS2 Board Brings ESP32-S2 to Adafruit Feather Form Factor

We’ve covered a fair number of development boards following Adafruit Feather form factor in the last year or so with products such as QuickFeather Cortex-M4 + FPGA board, OrangeCrab (Lattice FPGA), nRF9160 Feather providing LTE IoT & GPS connectivity, and other boards. But here’s yet another Adafruit Feather themed board that has just launched: FeatherS2. The tiny board is equipped with the latest Espressif Systems ESP32-S2 WiFi SoC, 16 MB SPI Flash, 8 MB PSRAM, several I/O, and a USB-C port for power and programming. FeatherS2 key features and specifications: SoC – ESP32-S2 single-core Tensilica LX7 processor @ 240 MHz, RISC-V ultra-lower power co-processor, 320 kB SRAM, 128 kB ROM Memory – 8 MB extra PSRAM Storage – 16 MB SPI Flash Connectivity – 2.4 GHz Wi-Fi – 802.11b/g/n with 3D antenna USB – 1x USB-C port for power and programming Sensor – ALS-PT19 Ambient Light Sensor Expansion 16 + […]