Think Silicon NEOX GPU family with models optimized for graphics (NEOX|G) or artificial intelligence (NEOX|A) is based on the RISC-V RV64C ISA instruction set with adaptive NoC, and offers up to 64 cores delivering up to 409.6 GFLOPS at 800MHz with support for FP16, FP32 and optionally FP64 and SIMD instructions. The NEOX GPUs can be integrated into microcontrollers, crossover processors, and even more powerful application processors, and target AI, IoT/Edge, and media processing in consumer and industrial devices. Each shader of the GPU is a programmable 64-bit RISC-V (RV64GC) core running a real-time operating system (RTOS) and the GPU is supported by lightweight graphics and machine learning frameworks. The multi-threaded GPU system can be customized for graphics, machine learning, vision/video processing, and general-purpose compute (GPGPU) workloads. The solution is meant to be integrated into 32-bit SoCs designed for smartwatches, augmented reality (AR) eyewear, video surveillance, and smart display terminals […]
Ubuntu Core 22 released for IoT devices and embedded systems
Canonical has just released Ubuntu Core 22, a containerized variant of Ubuntu 22.04 LTS, optimized for IoT devices and embedded systems and supporting Ubuntu’s new real-time kernel. In Ubuntu Core, everything is a snap, including the kernel, OS, and applications both to improve security to sandbox each package and to enable updates of specific packages from the IoT App Store over-the-air (OTA). If something goes wrong during the update, the system will automatically roll back to the previous version, so the device cannot be bricked. The Snap system also minimizes network traffic through delta updates. Ubuntu Core 22 also provides advanced security features with secure boot, full disk encryption, secure recovery, as well as confinement of the OS and applications as discussed above. Customers also benefit from Canonical’s 10 years (until 2032) of security maintenance of kernel, OS, and application-level code, which can be important for deployments in enterprise and […]
Nordic Thingy:53 is a dual-core Arm Cortex-M33 platform for IoT prototyping
As one should have expected after Nordic Thingy:52 and Thingy:91 IoT devkits were introduced in 2017 and 2019 respectively, the Norwegian company has now launched the Thingy:53 platform based on Nordic Semi nRF5340 dual-core Arm Cortex-M33 SoC for IoT prototyping with Bluetooth Low Energy, Thread, Matter, Zigbee, IEEE 802.15.4, NFC, and Bluetooth mesh RF protocols. The development kit also incorporates the nPM1100 PMIC and nRF21540 Front End Module (FEM), a power amplifier/low noise amplifier (PA/LNA) range extender, as well as multiple motion and environmental sensors, as well as a rechargeable 1350 mAh Li-Po battery for power. Nordic Thingy:53 specifications: SoC – Nordic Semi nRF5340 SoC with 128 MHz Arm Cortex-M33 Application core with 1 MB Flash + 512 KB RAM, and a 64 MHz Arm Cortex-M33 Network core with 256 KB Flash + 64 KB RAM Wireless connectivity RF front-end nRF21540 FEM Protocols – Bluetooth LE, Bluetooth Mesh, NFC, Thread/Zigbee, […]
Is your Smart Home product being shutdown? Just buy the company!
With Smart Home products connecting to the cloud, if a company decides to end support for a product or is required to close due to final troubles, there are few courses of action. The easiest one is to give up, and switch to another brand, or promise yourself you’ll never use one of those “Internet of Shit” products. The second one is quite more time-consuming and you’d have to work with the community to reverse-engineering the product and give it a second life, but obviously, this does not solve the supply issue since the product will not be manufactured anymore. Today, I learn about a third one: simply gather a small group of users, and buy the company! That’s basically the story of Smartlabs’ Insteon Smart Home products. Smartlabs was in bankruptcy proceedings. its cloud turned off, and products not working since April 14. Some members of Home Assistant community […]
T-Relay-8 – An ESP32 board with 8 relays
LilyGo T-Relay-8 is an ESP32 WiFi & BLE board equipped with eight 5V relays supporting up to 250V AC or 28V DC, as well as 16-pin GPIO header for expansion. The board offers a more compact solution than the usual two-board setups with an ESP32 board and a separate 8-relay “Arduino” module, and also integrates optocouplers for improved safety. LilyGo T-Relay-8 specifications: Wireless module – ESP32-WROVER-E module with ESP32 dual-core processor with 2.4 GHz WiFi 4 and Bluetooth 4.2 connectivity, 4MB flash, 8MB PSRAM Relays – 8x HRS4H-S-DC5V 5V relays up to 250VAC/10A or 28VDC/10A with octocoupler isolation, blue LEDs for status Expansion – 16-pin header (unpopulated) with GPIOs, 3.3V, and GND USB – 1x USB Type-C for programming via optional T-U2T dongle via CH9102 USB to TTL chip Misc – Reset button, red user LED Power Supply – 12V to 24V via 2-pin terminal block Dimensions – 17 x […]
LimeSDR Mini 2.0 USB SDR board gets an upgrade to Lattice Semi ECP5 FPGA (Crowdfunding)
The LimeSDR Mini is an open-source hardware full-duplex USB SDR board based on Intel Altera Max 10 Altera FGPA that was introduced in 2017 on Crowd Supply and raised close to $2 million US dollars. Since it has been used in various projects including digital TV transmitters. Lime Microsystems is now back on Crowd Supply with the similar-looking LimeSDR Mini 2.0 replacing the MAX 10 FPGA with 16K logic gates with a more powerful and capable Lattice Semiconductor ECP5 FPGA with 44K logic gates while keeping the company’s LMS7002 RF transceiver. LimeSDR Mini 2 specifications: FPGA – Lattice Semi ECP5 (LFE5U-45F) with 44K logic gates, 108 sysMEM blocks (18kb), 1,944 Kb embedded memory, 351 Kb distributed RAM bits Storage – 4 MB flash memory for data; 2x128KB EEPROM for RF transceiver MCU firmware and data RF Lime Microsystems LMS7002M RF transceiver Tx & Rx SMA connectors Frequency range – 10 […]
u-blox XPLR-IOT-1 explorer kit embeds cellular IoT, Wi-Fi, BLE, GNSS, and sensors for IoT evaluation
u-blox XPLR-IOT-1 explorer kit is an all-in-one IoT evaluation platform with cellular IoT, Wi-Fi, Bluetooth Low Energy, and GNSS, plus some sensors to evaluate various IoT products and enable proofs of concepts such as logistics container trackers, industrial automation, sensor-to-cloud applications, and fleet management solutions. The device’s main module is the u-blox NORA-B106 with a dual-core Arm Cortex M33 microcontroller and Bluetooth LE 5.2 radio that host the application software and control the other modules, namely the SARA-R510S module for LTE-M and NB-IoT cellular connectivity, NINA-W156 2.4 GHz Wi-Fi module, and the MAX-M10S GNNS module. The XPLR-IOT-1 platform is also equipped with an accelerometer, a gyroscope, a magnetometer, and temperature, humidity, pressure, and ambient light sensors. u-blox XPLR-IOT-1 specifications: Main MCU – Nordic Semi nRF5340 dual-core Arm Cortex M33 @ 128/64 MHz with 512 + 64 kB RAM memory and 1024 + 256 kB flash (found in NORA-B106 module) Wireless […]
TI Sitara AM623 & AM625 Cortex-A53 SoCs offer low-power AI for HMI and IoT applications
Texas Instruments has just launched the new Sitara AM62 family with AM623 and AM625 single to quad-core Cortex-A53 processors designed to provide IoT gateways and HMI applications with AI processing at low power, in some cases with up to 50% reduction in power consumption. The AM623 processor specifically targets Internet of Things (IoT) applications and gateways that may benefit from object and gesture recognition, while the AM625, equipped with a 3D GPU, should power HMI applications with edge AI and up to two full-HD displays. Sitara AM623 and AM625 processors Sitara AM623/AM625 key features and specifications: CPU – Single, dual, or quad-core Arm Cortex-A53 processor @ up to 1,400 MHz with 512KB L2 shared cache, plus 32KB I+D cache per core Co-processor – 1x Arm Cortex-M4F real-time core at up to 400 MHz with 256KB SRAM with SECDED ECC GPU (AM625 only) – Unnamed 3D GPU with support for OpenGL […]