artificial intelligence

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on CrowPi2 Raspberry Pi 4 Education Laptop Review

CrowPi2 Raspberry Pi 4 Education Laptop Review

CrowPi2 Raspberry Pi Laptop Review

I started my review of CrowPi2 Raspberry Pi 4 Learning Kit a while ago and at the time I showed content from the kit and its first boot. I’ve now spent more time with this very special Raspberry Pi 4 laptop and will focus this review on the education part, namely CrowPi2 software, but will also look at thermal cooling under stress with and without a fan, and try to install another Raspberry Pi compatible board inside the laptop shell. CrowPi2 Education Software It’s quite important to read the user manual before getting started as there are a few non-intuitive steps you may have to take. First I assume the wireless keyboard would just connect after pressing the power button, but it did not. The user manual explains the RF dongle is inside the mouse, and once you connect it you’ll be able to use the keyboard that has some […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Intel Launches 11th Gen Intel Core “Tiger Lake” Processors with Intel Iris Xe graphics

Intel Launches 11th Gen Intel Core “Tiger Lake” Processors with Intel Iris Xe graphics

Intel Tiger Lake

Intel has officially launched Tiger Lake processors for thin-and-light Laptops. The new 11th generation processors come with either Intel Iris Xe graphics or the older Intel UHD graphics, and nine processors are currently available divided into two families: UP3 with 12W to 28W configurable TDP, and UP4 with 7W to 15W configurable TDP. Manufactured with a 10nm process, the new processors are said to deliver up to 2.7x faster content creation (Photo Editing), more than 20% faster office productivity in Office 365, and more than 2x faster gaming plus streaming when comparing an Intel Core i7-1185G7 processor to AMD Ryzen 7 4800U. The new Intel Iris Xe graphics comes with up to 96 EUs and up to 16MB of L3 cache, and Intel claims it outperforms 90% of the discrete graphics usually paired with U-series processors. Tiger Lake processors also integrate a new DP4a instruction set for neural network inferencing […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Kneron KL720 Arm Cortex-M4 AI SoC Delivers 1.5 TOPS at 1.2 Watts

Kneron KL720 Arm Cortex-M4 AI SoC Delivers 1.5 TOPS at 1.2 Watts

Kleron KL720 Cortex-M4 AI Processor

We first came across Kneron AI processors last year, when we covered AAEON M.2 & mPCIe AI accelerator cards powered by Kneron KL520 dual-core Cortex-M4 processor and delivering 0.3 TOP AI acceleration performance at 0.5 Watt. The company has now introduced a more powerful processor with Kneron KL720 single Arm Cortex-M4 AI processor delivering up to 1.5 TOPS at 1.2 Watts, or 0.9 TOPS for 1 Watt. The company does not provide much other information in terms of specifications, but Kneron KL720 is said to be two to four times more power-efficient than competitors at a lower cost and is best suited for high-end IP cameras, Smart TVs, AI glasses & headsets, as well as AIoT Gateways. The processor can process 4K images, full HD videos, and 3D sensing data for facial recognition and gesture control for gaming, shopping kiosks, etc.. Besides computer vision, the chip can also handle natural […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on VIA Pixetto Hi3518E V300 HD Camera Board Targets Artificial Intelligence and Machine Learning Education

VIA Pixetto Hi3518E V300 HD Camera Board Targets Artificial Intelligence and Machine Learning Education

VIA Pixetto HD Camera Board AI Education

VIA Technologies has launched the VIA Pixetto vision sensor aims to teach artificial intelligence (AI) and machine learning (ML) to students aged twelve and above. The Linux board features an Hisilicon Hi3518E V300 Cortex-A7 HD camera SoC combined with 64MB RAM, 128MB SPI flash, a MicroSD slot, as well as GalaxyCore GC2053 2M CMOS sensor offering 1920 x 1080 resolution and a 130° field of view. VIA Pixetto hardware specifications: SoC – Hisilicon Hi3518E V300 Cortex-A7 HD camera SoC @ 900 MHz with H.264, H.265, MJPEG/JPEG encoder System Memory – 64MB DDR, MicroSD card slot Storage – 128MB SPI flash Camera – GalaxyCore GC2053 2M CMOS sensor with 1920 x 1080 resolution,  130° FoV Audio – Microphone USB – 1x Micro USB 2.0 port Connectivity – WiFi 4 via Hisilicon Hi1131 low-power Wi-Fi chip  and ceramic antenna Expansion – Grove connector Misc – 3x LEDs (Power, OS boot, active status), […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on RISC-V & ESP32 based TTGO Handheld T-WATCH K210 AIoT DevKit Works with a 9V Battery

RISC-V & ESP32 based TTGO Handheld T-WATCH K210 AIoT DevKit Works with a 9V Battery

TTGO Handheld T-WATCH-K210 RISC-V & ESP32 Devkit

LilyGO TTGO T-Watch K210 AIOT is a rather thick watch development kit based on Kendryte K210 RISC-V AI Processor and ESP32 WiSoC capable of performing AI workloads such as face detection using a USB power source. We first covered the development kit in June, and the company releases some small variants from time to time with the latest being TTGO Handheld T-Watch K210 with basically the same hardware, plus the addition of a handle that adds a power button, and a compartment for a 9V battery to power the watch/devkit. TTGO Handheld T-Watch K210 specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor with 8MB RAM, AI accelerators Storage – 16MB flash, MicroSD card slot Display – 1.54-inch capacitive touch IPS screen connected over an 8080 interface Camera – Adjustable 2MP OV2640 sensor with 65-degree lens (optional 120-degree angle lens),  AS312 “human” infrared sensor Connectivity – 2.4 GHz 802.11b/g/n WiFi […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on More Details about Alibaba XT910 64-bit RISC-V Core

More Details about Alibaba XT910 64-bit RISC-V Core

Xuantie XT902, XT9xx, XT910

Alibaba unveiled XuanTie 910 16-core RISC-V Processor last year with few details except it targetted high-performance 5G, AI, and autonomous driving applications. The company has now provided more details about Alibaba XuanTie 910 (aka XT910) processor during the virtual Hot Chips 2020 conference, and he notably compared the RV64GCV core found in the processor to Arm Cortex-A73 core. Alibaba XT910 main features and specifications: CPU – Up to 16x 64-bit RISC-V (RV64GCV) cores with RISC-V Vector extension and custom Turbo extension in four clusters of four cores; 12-stage out of order; Coremark: 7.1 per MHz Cache – 32KB or 64KB I/D cache per core, up to 8MB L2 cache per cluster FP16-FP64 floating-point unit Vector Computing Unit (aka Vector Engine) for AI acceleration Memory Management – Sv39 MMU + 8/16 PMP Interrupt Controller – Clint + PLIC Process – Final: 12nm FinFET; engineering samples: TSMC 28nm HPC Alibaba RISC-V Turbo […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 13 Comments on Sipeed Maix Amigo is a Portable 64-bit RISC-V AI Development Kit with Display and Cameras

Sipeed Maix Amigo is a Portable 64-bit RISC-V AI Development Kit with Display and Cameras

Sipeed Maix Amigo

Earlier this year, Seeed Studio introduced Wio Terminal a portable Arduino devkit with an LCD display, and expansion connectors and headers. The company is now selling a similar looking devkit but for different applications with Sipeed Maix Amigo portable 64-bit RISC-V development kit powered by Kendryte K210 RISC-V AI processor and equipped with an LCD display, two cameras, a few buttons, and several I/O headers and Grove connectors. Sipeed Maix Amigo specifications: SoC – Kendryte K210 Dual-core 64-bit RISC-V (RV64GC) processor with FPU @ 400 MHz (overclockable to 500MHz), 8MB SRAM, built-in AI accelerators for video and audio Storage – 16MB Flash, MicroSD card slot up Display – 3.5-inch TFT capacitive touch screen display with 480×320 resolution Camera VGA front-facing camera up to 30 fps (GC0328 sensor) VGA rear camera up to 60 fps (OV7740 sensor) Audio – Build-in microphone, optional 6-mic array USB – 1x USB Type-C port for […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM

tinyVision.ai’s Vision FPGA SoM is a tiny Lattice iCE40 powered FPGA module with integrated vision, audio, and motion-sensing capability with a CMOS image sensor, an I2S MEMS microphone and a 6-axis accelerometer & gyroscope. The module enables low power vision (10-20 mW) for battery-powered applications, can interface via SPI  to a host processor as a storage device, comes with open-source toolchain and sample code, and is optimized for volume production. Vision FPGA SoM specifications: FPGA – Lattice iCE40UP5k FPGA with 5K LUT’s, 1 Mb RAM, 8 MAC units Memory – 64 Mbit QSPI SRAM for temporary data Storage – 4 Mbit QSPI Flash for FPGA bitstream/code storage Sensors Himax HM01B0 CMOS image sensor Knowles MEMS I2S microphone, expandable to a stereo configuration with an off-board I2S microphone InvenSense IMU 60289 6-axis Gyro/accelerometer I/Os 4x GPIOs with programmable IO voltage SPI host interface with programmable IO voltage Misc – Tri-color LED, […]