processor Archives - Page 3 of 37 - Raspberry PI Projects

COMMELL UNVEILED LP-179 & LV-6712 BASED ON INTEL TIGER LAKE UP3 PLATFORM

Taiwan Commate Computer Inc .(COMMELL), the worldwide leader of Industrial Single Board Computers, unveiled LP-179 & LV-6712 Mini-ITX based on Intel® 11th Gen. FCBGA1449 “Tiger Lake UP3”. The 11th Gen Intel® Core™ processor is claimed to deliver better performance up to a 23% gain in single-thread performance, and up to a 19% gain in multi-thread performance vs. 8th Gen Intel® Core™ processors, up to 96 […]

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RASPBERRY PI HAT FEATURES K210 AI PROCESSOR

XaLogic had launched a campaign on Crowdsupply for a Kendryte K210 based HAT. The K210 AI Accelerator is a compact Raspberry Pi HAT that utilizes the Kendryte K210 AI processor to enable 0.5 TOPs (Tera Operations Per Second) of processing power. Kendryte K210 is a dual-core RISC-V AI processor that was launched in 2018, and you can find it in several smart

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FIREFLY DUAL-LENS AI CAMERA MODULE SUPPORTS COMPUTER VISION AT EDGE

Firefly has launched two dual-lens AI camera modules with a built-in NPU (Neural Processing Unit) accelerator supporting up to 2 TOPS of performance. The modules feature Rockchip’s AI vision processors, RV1109 for CAM-C1109S2U module and RV1126 for CAM-C1126S2U module. The processor also supports FastBoot, TrustZone technology, and multiple crypto engines. CAM-C1109S2U module’s RV1109 SoC comes with a 1.5GHz dual-core Arm Cortex-A7 CPU and a

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AI DIGITAL SIGNAGE SYSTEM FEATURES AN APOLLO LAKE SOC, DUAL MYRIAD X VPUS AND TRIPLE HDMI PORTS

Artificial intelligence, no doubt, has made its space in the digital signage world. Before now, we could only use a digital signage player for displaying photos and text or playing videos or PowerPoint slides but AI was introduced and it became possible to use a digital signage system for advanced techs like facial recognition where

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Raspberry Pi Cluster for Parallel and Distributed Computing

1. Introduction “Big data analysis has become increasingly indispensable across various scientific and engineering fields. However, dealing with the sheer volume of data often results in slow processing times due to computationally intensive algorithms, such as the 3-D Fourier transform or 3-D prestack migration in geophysics (Yilmaz, 2001). Another challenge arises when the data set

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4D IMAGING ROC SENSOR: INTERVIEW WITH VAYYAR’S HEAD OF AUTOMOTIVE

The 4D imaging technology using cameras and LIDAR comes with drawbacks as the cameras are sensitive to external environmental conditions like bad light, fog, etc. Hence, the radar technology for 4D imaging allows a good resolution scan with an accurate field of view. Vayyar’s Radar on Chip (RoC) is one such example for 4D Imaging applications. The automotive-grade RoC is AEC-Q100 approved and

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SNAPDRAGON 888 MOBILE HDK RUNS ANDROID 11 ON QUALCOMM’S LATEST 5NM SOC

Qualcomm and Lantronix have come together to launch Snapdragon 888 Mobile Hardware Development Kit – a feature-rich Android development platform designed to provide Android app developers, hardware vendors, and original equipment manufacturers with the right software and tools needed to accelerate the development and testing of devices. The Snapdragon 888 development board is powered by Qualcomm’s Snapdragon 888 octa-core Kryo 680 CPU with

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A TYPEWRITER FOR THE PAPERLESS AGE

Writing is, as any of the Hackaday crew will tell you, a task which requires concentration. For your best work there’s a need to be in that elusive Zone, and for some that means making the experience as distraction free as possible. For them there’s an entire class of minimalist word-processors and text editors which reduce

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SOM-6883: PERFORMANCE BREAKTHROUGH WITH 11TH GEN. INTEL® CORE™ PROCESSORS AND ADVANCED I/O TECHNOLOGY

Advantech, a leading embedded and AIoT solutions provider, has released SOM-6883 for use in a wide variety of applications. SOM-6883 is a COMe Compact Type 6 Module with 11th Gen. Intel® Core™ processors (formally known as Tiger Lake UP3). It offers excellent Intel Iris Xe graphics combined with improved processing performance and AI acceleration. The new real-time, low-latency capabilities in a

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AAEON PARTNERS WITH KINGTIGER AND AMI TO ACCELERATE DEPLOYMENT OF IMS MEMORY ERROR PREVENTION SOFTWARE

AAEON, an industry leader in edge computing solutions, collaborated with KingTiger, a leader in memory testing solutions, to help with testing and developing their intelligent Memory Surveillance (iMS) memory error prevention software. Developed in conjunction with AMI, a leading provider of firmware, manageability and security solutions for the global computing industry, this innovative software, which is embedded in

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