machine learning News - Page 5 of 21 - CNX Software

March 19, 2024March 18, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Edge Impulse machine learning platform adds support for NVIDIA TAO Toolkit and Omniverse

Edge Impulse machine learning platform for edge devices has released a new suite of tools developed on NVIDIA TAO Toolkit and Omniverse that brings new AI models to entry-level hardware based on Arm Cortex-A processors, Arm Cortex-M microcontrollers, or Arm Ethos-U NPUs. By combining Edge Impulse and NVIDIA TAO Toolkit, engineers can create computer vision models that can be deployed to edge-optimized hardware such as NXP I.MX RT1170, Alif E3, STMicro STM32H747AI, and Renesas CK-RA8D1. The Edge Impulse platform allows users to provide their own custom data with GPU-trained NVIDIA TAO models such as YOLO and RetinaNet, and optimize them for deployment on edge devices with or without AI accelerators. NVIDIA and Edge Impulse claim this new solution enables the deployment of large-scale NVIDIA models to Arm-based devices, and right now the following object detection and image classification tasks are available: RetinaNet, YOLOv3, YOLOv4, SSD, and image classification. You can […]

February 26, 2024February 25, 2024 by Debashis Das - No Comments

BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip Neuromorphic Akida Edge AI Box

BrainChip has recently opened preorders for their Akida Edge AI Box, built in partnership with VVDN Technologies. This box features an NXP i.MX 8M Plus SoC and two Akida AKD1000 neuromorphic processors for low-latency, high-throughput AI processing at the edge. The system features USB 3.0 and micro-USB ports, HDMI, 4GB LPDDR4 memory, 32GB eMMC with up to 1TB micro-SDXC expansion, dual-band Wi-Fi, and two gigabit Ethernet ports for external camera connections, all within a compact, passively-cooled chassis, powered by 12V DC. BrainChip Akida Edge AI Box Specifications: Host CPU – NXP i.MX 8M Plus Quad SOC with 64-bit Arm Cortex-A53 processor running at up to 1.8GHz AI/ML Accelerator – Dual Brainchip AKD1000 (Akida Chip) over PCIe for efficient AI processing Memory – 4GB LPDDR4 Storage 32GB eMMC flash MicroSD card slot for additional storage options Display Output – HDMI output supporting up to 3840 x 2160p30 resolutions with a pixel clock […]

February 8, 2024February 13, 2024 by Jean-Luc Aufranc (CNXSoft) - 31 Comments

LicheeRV Nano – A low-cost SG2002 RISC-V and Arm camera and display board with optional WiFi 6 and/or Ethernet

When I wrote about the SOPHGO SG2002 (and SG2000) RISC-V, Arm, and 8051 AIoT processor yesterday, I noted several boards were in development, but I had not noticed the Sipeed LicheeRV Nano (Beta) was already available for sale, so let’s have a closer look. It’s an inexpensive, tiny camera and display board running Linux with optional support for WiFi 6 and 10/100M Ethernet connectivity which somewhat reminds me of the Breadbee SBC based on MStar MSC313E Camera SoC. Sipeed also provides accessories such as a camera module and a touchscreen display to quickly get started. LicheeRV Nano specifications: SoC – SOPHGO SG2002 Main core – 1GHz 64-bit RISC-V C906 or Arm Cortex-A53 core (selectable) Minor core – 700MHz 64-bit RISC-V C906 core Low-power core – 25 to 300MHz 8051 MCU core NPU – 1 TOPS INT8, supports BF16 Integrated 256MB DDR3 (SiP) Storage – MicroSD card slot and SD NAND […]

February 7, 2024February 7, 2024 by Jean-Luc Aufranc (CNXSoft) - 16 Comments

SOPHGO SG2000/SG2002 AI SoC features RISC-V, Arm, and 8051 cores, supports Android, Linux, and FreeRTOS

SOPHGO SG2000 and SG2002 are new SoCs featuring a bunch of RISC-V and Arm cores capable of running Linux, Android, and FreeRTOS simultaneously, and to maximize the fun an 8051 MCU core is also in the mix along with a 0.5 TOPS (SG2000) or 1 TOPS (SG2002) AI accelerator. More specifically we have one 1GHz C906 64-bit core capable of running Linux, one 1GHz Arm Cortex-A53 for Linux or Android, another 700 MHz C906 RISC-V core for FreeRTOS, and a 300 MHz 8051-core for real-time I/Os, as well as 256MB or 512MB SiP DRAM. The chip is designed for AIoT applications such as Smart IP cameras, facial recognition, and smart home devices. SOPHGO SG2000/SG2002 specifications: CPU cores 1x C906 64-bit RISC-V core @ 1GHz 1x C906 64-bit RISC-V core @ 700MHz 1x Arm Cortex-A53 core @ 1GHz MCU – 8051 8-bit microcontroller core @ 25 to 300 MHz with 6KB […]

January 31, 2024January 31, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NXP launches MCX A14x and MCX A15x Arm Cortex-M33 MCUs along with FRDM-MCXA153 development board

NXP has just announced the launch of the MCX A series Arm Cortex-M33 microcontrollers with the MCX A14x running up to 48 MHz and the MCX A15x running up to 96 MHz. The devices support up to 128KB flash and 32KB SRAM, offer I2C, I3C, and SPI sensor interfaces, and integrate support for BLDC/PMSM motor control. NXP first unveiled the NXP MCX general-purpose Arm MCU family with 30 times faster machine learning at Embedded World 2022, but at the time we had limited information although four series were planned with the MCX N Advanced series up to 250 MHz, the MCX A essential series up to 96 MHz, the MCX W Wireless series with Bluetooth LE, and the MCX L Low-power series. The MCX A series has just been launched, and the high-end MCX N also has its own product page with the N94x and N54x variants. We’ll focus on […]

January 24, 2024January 23, 2024 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

FOSDEM 2024 schedule – Open-source embedded, mobile, IoT, robotics, RISC-V, etc..

FOSDEM – which stands for Free and Open Source Software Developers’ European Meeting – is a free-to-participate event where thousands of developers meet in Brussels on the first week-end of February to discuss open-source software & hardware projects. FOSDEM 2024 will take place on February 3-4 with 880 speakers, 818 events, and 66 tracks. Although I won’t attend, I’ve created a virtual schedule like every year with sessions most relevant to the topics covered on CNX Software from the “Embedded, Mobile and Automotive” and “Open Hardware and CAD/CAM” devrooms, but also other devrooms including “FOSS Mobile Devices”, “ Energy: Reimagining this Ecosystem through Open Source”, “RISC-V”, and others. FOSDEM Day 1 – Saturday, February 3, 2024 10:30 – 10:55 – Screen Sharing on Raspberry Pi 5 Using VNC in Weston and Wayland with the Yocto Project and OpenEmbedded by Leon Anavi In 2023, embedded Linux developers received eagerly awaited news: […]

January 19, 2024 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

$16 Grove Vision AI V2 module features WiseEye2 HX6538 Arm Cortex-M55 & Ethos-U55 AI microcontroller

Grove Vision AI V2 XIAO ESP32-C3 OV5647 camera

Seeed Studio’s Grove Vision AI V2 module is based on the HiMax WiseEye2 HX6538 dual-core Cortex-M55 AI microcontroller with an Arm Ethos-U55 microNPU and features a MIPI CSI connector for an OV5647 camera. It is designed for AI computer vision applications using TensorFlow and PyTorch frameworks and connects to hosts such as Raspberry Pi SBCs, ESP32 IoT boards, Arduino, and other maker boards over I2C. We tested the previous generation Grove Vision AI module based on the 400 MHz HX6537-A DSP-based AI accelerator using the SenseCAP K1100 sensor prototype kit with LoRaWAN connectivity, and managed to have the kit perform face detection and send the data over LoRaWAN. The Grove Vision AI V2 builds on that but with a modern Arm MCU core and more powerful AI accelerator that can run models such as Mobilenet V1/V2, Efficientnet-lite, and Yolo v5 & v8 using the SenseCraft low-code/no-code platform. Grove Vision AI […]

December 18, 2023 by Debashis Das - No Comments

Infineon launches PSoC Edge Cortex-M55/M33 microcontrollers for enhanced AI and ML applications

The PSoC Edge microcontrollers integrate the Arm Cortex-M55 core with Helium DSP and the Ethos U55 NPU unit for advanced AI tasks. It also includes a power-efficient Arm Cortex-M33 core paired with an NNLite(DSP/NPU) for simpler AI tasks.

Infineon’s new PSoC Edge series of microcontrollers integrates the Arm Cortex-M55 core with Helium DSP and the Ethos U55 NPU unit for advanced AI tasks. It also includes a power-efficient Arm Cortex-M33 core paired with an NNLite(DSP/NPU) for simpler AI tasks. This setup allows the device to be more efficient in varying load conditions. Infineon’s PSoC lineup is a configurable microcontroller powered by Arm Cortex-M4, Cortex-M3, or Cortex-M0+ cores. The main USP (Unique Selling Point) of this lineup is its configurable digital and analog components. This feature makes them somewhat similar to an FPGA, but an FPGA is far more difficult to program than these microcontrollers and they are also very power-hungry. The device is equipped with advanced HMI and “Always-on” capability. “Always-on” is a feature of this device to constantly monitors and responds to signals automatically, making it suitable for smart homes, security, wearables, robotics, and many more. Key […]