machine learning News - Page 7 of 18 - CNX Software

February 2, 2023February 3, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Qualcomm-based Open-Q 2290CS and 4290CS SIPs target industrial IoT and machine vision applications

Open-Q AL2 96Boards SBC and Mezzanine with Camera, Display, sensors

Lantronix has just unveiled two new System-in-Packages (SiP) with the entry-level Open-Q 2290CS SIP based on Qualcomm QCS2290 quad-core Cortex-A53 processor designed for industrial IoT applications and safety vehicle equipment control, and the pin-compatible, mid-range Open-Q 4290CS SIP based on Qualcomm QCS4290 octa-core Kryo 260 CPU for applications requiring artificial intelligence and machine learning capabilities. The Open-Q 2290CS module comes with 2GB LPDDR4, 16GB eMMC flash, WiFi 5 and Bluetooth 5.0 connectivity, while the Open-Q 4290CS module is equipped with up to 6GB LPDDR4, up to 256GB eMMC flash., and Wi-Fi 5 with some Wi-Fi 6 features (TWT & 8SS), and Bluetooth 5.1. Lantronix also offers the Open-Q AL2 development kit supporting either both SIP modules for evaluation and rapid prototyping. Open-Q 2290CS – Qualcomm QCS2290 SiP Specifications: SoC – Qualcomm QCS2290 quad-core Cortex-A53 processor at up to 2.0 GHz with Adreno 702 GPU at 845 MHz with support for […]

January 31, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

STM32Cube.AI Developer Cloud generates AI workloads for STM32 microcontrollers

STMicroelectronics has just announced the STM32Cube.AI Developer Cloud opening access to a suite of online AI development tools for the STM32 microcontrollers (MCUs) allowing developers to generate, optimize, and benchmark AI working on the company’s 32-bit Arm microcontrollers. The company sus the STM32Cube.AI Developer Cloud is based on the existing STM32Cube.AI ecosystem of desktop tools with the added benefit of being able to remotely benchmark models on STM32 hardware through the cloud in order to save on workload and cost. Some of the highlights of the online tools include: An online interface to generate optimized C-code for STM32 microcontrollers without requiring prior software installation. Access to the STM32 model zoo, a repository of trainable deep-learning models and demos. It currently features human motion sensing for activity recognition and tracking, computer vision for image classification or object detection, audio event detection for audio classification, and more. You’ll find those on GitHub […]

January 28, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Arduino Nicla Voice enables always-on speech recognition with Syntiant NDP120 “Neural Decision Processor”

Arduino PRO Nicla Voice with LiPo battery

Nicla Voice is the latest board from the Arduino PRO family with support for always-on speech recognition thanks to the Syntiant NDP120 “Neural Decision Processor” with a neural network accelerator, a HiFi 3 audio DSP, and a Cortex-M0+ microcontroller core, and the board also includes a Nordic Semi nRF52832 MCU for Bluetooth LE connectivity. Arduino previously launched the Nicla Sense with Bosch SensorTech’s motion and environmental sensors, followed by the Nicla Vision for machine vision applications, and now the company is adding audio and voice support for TinyML and IoT applications with the Nicla Voice. Nicla Voice specifications: Microprocessor – Syntiant NDP120 Neural Decision Processor (NDP) with one Syntiant Core 2 ultra-low-power deep neural network inference engine, 1x HiFi 3 Audio DSP, 1x Arm Cortex-M0 core up to 48 MHz, 48KB SRAM Wireless MCU – Nordic Semiconductor nRF52832 Arm Cortex-M4 microcontroller @ 64 MHz with 512KB Flash, 64KB RAM, Bluetooth […]

January 19, 2023January 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

VAR-SOM-MX93 SO-DIMM NXP i.MX 93 SoM features WiFi, Bluetooth, Audio codec

Variscite VAR-SOM-MX93 is a 200-pin SO-DIMM system-on-module based on NXP i.MX 93 dual-core Cortex-A55/M33 AI processor with up to 2 GB LPDDR4 RAM, 64GB eMMC flash, and onboard WiFi & Bluetooth module and audio driver. The Variscite module follows the announcement of two other NXP i.MX 93 system-on-modules, namely the Forlinx FET-MX9352-C with board-to-board connectors and the iWave Systems iW-RainboW-G50M LGA module compliant with OSM Size L form factor to be soldered directly on the carrier board. VAR-SOM-MX93 specifications: SoC – NXP i.MX 93 with up to 2x Cortex-A55 cores @ 1.7GHz, 1x Cortex-M33 real-time co-processor @ 250 MHz, 0.5 TOPS NPU, 2D PxP graphics engine System Memory – 512MB to 2GB LPDDR4 Storage – 8 to 64GB eMMC flash, 4KB EEPROM Ethernet – ADIN1300 Gigabit Ethernet PHY Wireless module Single-band 802.11 b/g/n WiFi 4 or dual-band 802.11 ac/a/b/g/n WiFi 5 Bluetooth 5.2 classic + LE Audio – Unnamed Audio […]

January 10, 2023January 11, 2023 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Maker Feather AIoT S3 – An ESP32-S3 board programmable with CircuitPython or Arduino

Cytron Maker Feather AIoT S3 is an ESP32-S3 board compatible with the Adafruit Feather form factor and suitable for makers and STEM education with features like LEDs for GPIOs, a buzzer, expansion headers and connectors, and support for CircuitPython & Arduino. The WiFi and Bluetooth LE IoT board also supports LiPo and Li-Ion batteries, includes a USB Type-C port for power/charging and programming, and a few buttons. It’s suitable for machine learning thanks to the vector extensions found in the ESP32-S3 microcontroller. Maker Feather AIoT S3 specifications: Wireless module – Espressif ESP32-S3-WROOM-1-N8R8 module with ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning, 8MB FLASH, 8MB PSRAM, WiFi 4 and Bluetooth 5 LE/Mesh USB – 1x USB Type-C port power and programming Expansion 2x GPIO headers compatible with Adafruit Feather form factor and FeatherWing add-on boards 3x Maker Ports compatible with Qwiic, STEMMA QT, […]

January 10, 2023January 10, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

MistySoM Renesas RZ/G2L or RZ/V2L SoM and devkit goes for $112 and up

MistySOM devkit Renesas RZ/G2L or RZ/V2L

We’ve previously written about several system-on-modules and SBCs based on Renesas RZ/G2L or RZ/V2L Cortex-A55/M33 processors such as Geniatech “AHAURA” RS-G2L100 and “AKITIO” RS-V2L100 single board computers, Forlinx FET-G2LD-C system-on-module, and SolidRun RZ/G2LC SOM and devkit. But most of those are hard to buy, and you need to contact the company, discuss your project, etc… before purchase, except for the SolidRun Renesas RZ/G2LC Evaluation Kit going for $249. Another option is the MistyWest MistySOM module offered for $112 and up on GroupGets with either Renesas RZ/G2L or RZ/V2L processor, as well as an optional carrier board. MistySOM system-on-module MistySOM-G2L (aka MW-G2L) and MistySOM-V2L (aka MW-V2L) specifications: SoC – Renesas RZ/G2L or RZ/V2L with dual-core Cortex-A55 processor @ 1.2 GHz, Arm Cortex-M33 core @ up to 200 MHz, Arm Mali-G31 GPU, and DRP-AI vision accelerator (RZ/V2L only) System Memory – 2GB LPDDR4/DDR4 Storage – 32GB eMMC flash 2x 120-pin high-speed mezzanine […]

January 5, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

NXP i.MX 95 processor features Cortex-A55, Cortex-M33, and Cortex-M7 cores, eIQ Neutron NPU

NXP i.MX 95 is an upcoming Arm processor family for automotive, industrial, and IoT applications with up to six Cortex-A55 application cores, a Cortex-M33 safety core, a Cortex-M7 real-time core, and NXP eIQ Neutron Neural Network Accelerator (NPU). We’re just only starting to see NXP i.MX 93 modules from companies like iWave Systems and Forlinx, but NXP is already working on its second i.MX 9 processor family with the i.MX 95 application processor family equipped with a higher number of Cortex-A55 cores, an Arm Mali 3D GPU, NXP SafeAssure functional safety, 10GbE, support for TSN, and the company’s eIQ Neutron Neural Processing Unit (NPU) to enable machine learning applications. NXP i.MX 95 specifications: CPU Up to 6x Arm Cortex-A55 cores with 32KB I-cache, 32KB D-cache, 64KB L2 cache, 512KB L3 cache with ECC 1x Arm Corex-M7 real-time core with 32KB I-cache, 32KB D-cache, 512KB TCM with ECC 1x Arm Cortex-M33 […]

January 4, 2023 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Forlinx FET-MX9352-C – An NXP i.MX 9352 system-on-module for industrial AIoT applications

Forlinx FET-MX9352-C is a system-on-module based on NXP i.MX 9352 dual Cortex-A55 processor with Cortex-M33 real-time core and a 0.5 TOPS AI accelerator that can be used for industrial control, IoT gateways, medical equipment, and various applications requiring machine learning acceleration. The FET-MX9352-C follows last week’s announcement of the iWave Systems iW-RainboW-G50M OSM module and SBC with a choice of NXP i.MX 93 processors. The Forlinx module comes with two board-to-board connectors instead of solderable pads and can be found in the OK-MX9352-C single board computer with dual GbE, various display and camera interfaces, RS485 and CAN Bus, etc… FET-MX9352-C i.MX 9352 system-on-module Specifications: SoC – NXP i.MX 9352 with 2x Arm Cortex-A55 cores @ up to 1.7GHz (commercial) or 1.5 GHz (industrial), Cortex-M33 real-time core @ 250 MHz, 0.5 TOPS Arm Ethos U65 microNPU System Memory – 1GB/2GB LPDDR4 RAM Storage – 8GB eMMC flash 2x high-density 100-pin board-to-board […]