{"id":21578,"date":"2019-04-11T09:33:39","date_gmt":"2019-04-11T01:33:39","guid":{"rendered":"\/blog\/?p=21578"},"modified":"2019-04-11T09:33:42","modified_gmt":"2019-04-11T01:33:42","slug":"featured-open-source-ai-hardware-you-should-consider","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2019\/04\/11\/featured-open-source-ai-hardware-you-should-consider\/","title":{"rendered":"Featured Open Source AI Hardware You Should Consider"},"content":{"rendered":"\n<p><a href=\"https:\/\/www.seeedstudio.com\/artificial-intelligence-hardware\">Artificial intelligence <\/a>(AI) is a computer system or other machine able to perform tasks that ordinarily require human intelligence like planning, learning, reasoning, problem solving, knowledge representation, perception, motion, manipulation and even social intelligence and creativity. <\/p>\n\n\n\n<p>To extend the reach of AI hardware, Seeed provides a wide selection of&nbsp;<a href=\"https:\/\/www.seeedstudio.com\/artificial-intelligence-hardware\">AI hardware<\/a>&nbsp;focusing on <a href=\"https:\/\/www.seeedstudio.com\/Artificial-Intelligence\/Machine-Learning-c-1220.html\">Machine Learning&nbsp;<\/a>and <a href=\"https:\/\/www.seeedstudio.com\/Artificial-Intelligence\/Machine-Learning-c-1220\/Computer-Vision-c-1221.html\">Computer Vision<\/a>, <a href=\"https:\/\/www.seeedstudio.com\/category\/Development-Platforms-c-1002\/ai-c-958\/Machine-Learning\/Edge-Computing.html\">Edge Computing<\/a>, <a href=\"https:\/\/www.seeedstudio.com\/category\/Development-Platforms-c-1002\/ai-c-958\/Machine-Learning\/Speech-Recognition-NLP.html\">Speech Recognition &amp; NLP<\/a> and <a href=\"https:\/\/www.seeedstudio.com\/category\/Development-Platforms-c-1002\/ai-c-958\/Machine-Learning\/Neural-Networks-Acceleration.html\">Neural Networks Acceleration<\/a> to allow anyone to build AIOT projects. Here is our pick of pieces of kit worth your attention based on function:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Machine Learning<\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>There is a broad body of research in AI, much of which feeds into and complements each other.<\/p><p>Currently enjoying something of a resurgence, machine learning is where a computer system is fed large amounts of data, which it then uses to learn how to carry out a specific task, such as understanding speech or captioning a photograph.<\/p><cite>By&nbsp;<a href=\"https:\/\/www.zdnet.com\/meet-the-team\/uk\/nick-heath\/\">Nick Heath<\/a>&nbsp;|&nbsp;February 12, 2018 &#8212; 11:23 GMT (19:23 GMT+08:00)<br>Topic:&nbsp;<a href=\"https:\/\/www.zdnet.com\/collection\/managing-ai-and-ml-in-the-enterprise\/\">Managing AI and ML in the Enterprise<\/a><br><\/cite><\/blockquote>\n\n\n\n<p>Machine learning has been widely used in data processing, computer vision, natural language processing, biometrics, search engines, medical diagnostics, detection of credit card fraud, securities market analysis, and robotics. But what is it exactly?<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Machine learning is a part of the artificial intelligence research field, more specifically, in how to improve the performance of specific algorithms in empirical learning.<\/li><li> Machine learning is the study of computer algorithms that can be automatically improved through experience.<\/li><li> Machine learning is the use of data or past experience to optimize the performance standards of computer programs.<\/li><\/ul>\n\n\n\n<p>With the explosive growth of connected devices, combined with a demand for privacy\/confidentiality, low latency and bandwidth constraints,&nbsp;AI models trained in the cloud increasingly need to be run at the edge.<br><g class=\"gr_ gr_10 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"10\" data-gr-id=\"10\">MAIX<\/g> is <g class=\"gr_ gr_11 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"11\" data-gr-id=\"11\">Sipeed\u2019s<\/g> purpose-built module designed to run AI at the edge. We call it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge with a competitive price that makes it possible to embed into any IoT device. <strong><a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAIX-I-module-WiFi-version-1st-RISC-V-64-AI-Module-K210-inside-p-3206.html\"><g class=\"gr_ gr_12 gr-alert gr_spell gr_inline_cards gr_disable_anim_appear ContextualSpelling ins-del multiReplace\" id=\"12\" data-gr-id=\"12\">Sipeed<\/g> <g class=\"gr_ gr_13 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"13\" data-gr-id=\"13\">MAIX<\/g><\/a> <\/strong>is quite like Coral board, but it is lower cost and lower power.<\/p>\n\n\n\n<p>Seeed is developing a <a href=\"https:\/\/forum.seeedstudio.com\/viewtopic.php?f=110&amp;t=31497\">Grove HAT for Edge Computing<\/a> based on the<a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAIX-I-module-WiFi-version-1st-RISC-V-64-AI-Module-K210-inside-p-3206.html\">&nbsp;<g class=\"gr_ gr_3 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"3\" data-gr-id=\"3\">Sipeed<\/g> <g class=\"gr_ gr_4 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"4\" data-gr-id=\"4\">MAIX<\/g>-I modul<\/a><a href=\"https:\/\/www.seeedstudio.com\/sipeed-maix-i-module-wifi-version-1st-risc-v-64-ai-module-k210-inside-p-3206.html\">e<\/a>, aiming at enabling more possibilities in areas such as predictive maintenance, anomaly detection, robotics and many more.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2019\/03\/WechatIMG660-1030x1030.jpeg\" alt=\"\" class=\"wp-image-21143\" width=\"515\" height=\"515\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-1030x1030.jpeg 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-80x80.jpeg 80w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-300x300.jpeg 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-768x768.jpeg 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-360x360.jpeg 360w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660-750x750.jpeg 750w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/03\/WechatIMG660.jpeg 1080w\" sizes=\"(max-width: 515px) 100vw, 515px\" \/><figcaption><a href=\"https:\/\/forum.seeedstudio.com\/viewtopic.php?f=110&amp;t=31497\">Grove HAT for Edge Computing<\/a> based on the<a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAIX-I-module-WiFi-version-1st-RISC-V-64-AI-Module-K210-inside-p-3206.html\">&nbsp;Sipeed MAIX-I modul<\/a><a href=\"https:\/\/www.seeedstudio.com\/sipeed-maix-i-module-wifi-version-1st-risc-v-64-ai-module-k210-inside-p-3206.html\">e<\/a><\/figcaption><\/figure><\/div>\n\n\n\n<p>It is an ideal way to start Machine Learning studies with NVIDIA Jetson Nano.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-p-2916.html\">The NVIDIA\u00ae Jetson Nano\u2122 Developer Kit<\/a> delivers the computing performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. Find more information at the NVIDIA Jetson Nano&#8217;s <a href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\">official page.&nbsp;<\/a><\/p>\n\n\n\n<p>Check our <a href=\"https:\/\/project.seeedstudio.com\/SeeedStudio\/unboxing-of-jetson-nano-quick-start-up-of-two-vision-demos-200d93\">Unboxing of Jetson Nano &amp; Quick Start-Up of Two Vision Demos<\/a><\/p>\n\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Nvidia Jetson Nano Developer Kit | Object Recognition and Face Detection\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/U0rNdI9pl_0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Coral from Google &#8211; Another hot piece of kit tailored to AI machine learning <\/h3>\n\n\n\n<p>The <a href=\"https:\/\/www.seeedstudio.com\/Coral-Dev-Board-p-2900.html\">Coral Dev Board<\/a> is a single-board computer with a removable system-on-module (SOM) that contains eMMC, SOC, wireless radios, and Google\u2019s&nbsp;<a href=\"https:\/\/coral.withgoogle.com\/tutorials\/edgetpu-faq\/\">Edge TPU<\/a>. It\u2019s perfect for IoT devices and other embedded systems that demand fast on-device machine learning inferencing.<\/p>\n\n\n\n<p>You can use the Dev Board as a single-board computer for accelerated machine learning processing in a small form factor, or as an evaluation kit for the onboard SOM. The 40 mm \u00d7 48 mm SOM on the Dev Board is available at volume and it can be combined with custom PCB hardware using board-to-board connectors to integrate into products.<\/p>\n\n\n\n<p>The SOM is based on NXP&#8217;s iMX8M system-on-chip (SOC), but its unique power comes from the Edge TPU coprocessor. The Edge TPU is a small ASIC designed by Google that provides high-performance machine learning inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" width=\"1030\" height=\"328\" src=\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.37.27-1030x328.png\" alt=\"\" class=\"wp-image-21601\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.37.27-1030x328.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.37.27-300x96.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.37.27-768x245.png 768w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Edge Computing <\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><strong>Edge computing<\/strong>&nbsp;brings memory and computing power closer to the location where it is needed.<\/p><cite>Edge computing<br>From Wikipedia, the free encyclopedia<\/cite><\/blockquote>\n\n\n\n<p>Select the development board for your specific edge computing application: <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Processing and analyzing data at the edge of the network.<\/li><li>More secure, real-time data analysis and intelligent processing<\/li><li>Reducing energy consumption of the entire system<\/li><li>Reducing the time for integrating and migrating data.<\/li><\/ul>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img decoding=\"async\" src=\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.49.02-1030x744.png\" alt=\"\" class=\"wp-image-21603\" width=\"292\" height=\"211\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.49.02-1030x744.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.49.02-300x217.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.49.02-768x555.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2019\/04\/\u5c4f\u5e55\u5feb\u7167-2019-04-09-\u4e0a\u534811.49.02.png 1166w\" sizes=\"(max-width: 292px) 100vw, 292px\" \/><\/figure><\/div>\n\n\n\n<p><a href=\"https:\/\/www.seeedstudio.com\/HiKey-970-Development-Board-p-3046.html\">Hikey970<\/a> is the super edge AI computing platform powered by Kirin970 SOC with 4 x Cortex A73,4 x Cortex A53. Hikey970 has 6GB LPDDR4 RAM, 64GB UFS storage, Gigabit Ethernet, GPS, <g class=\"gr_ gr_13 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"13\" data-gr-id=\"13\">PCIE<\/g> Gen2 and CAN on board. As the world\u2019s first dedicated NPU AI platform, Hikey970 integrates Huawei HiAI computing architecture and popular neural network frameworks which supports CPU, GPU AI and Neural Processing Units dedicated to AI acceleration. It also comes with Huawei\u2019s HiAI SDK. <g class=\"gr_ gr_42 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del multiReplace\" id=\"42\" data-gr-id=\"42\">Hikey<\/g> 970 can be used in most applications in deep learning, Robotics, automobiles <g class=\"gr_ gr_120 gr-alert gr_gramm gr_inline_cards gr_run_anim Punctuation only-ins replaceWithoutSep\" id=\"120\" data-gr-id=\"120\">and<\/g> smart cities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Computer Vision <\/h3>\n\n\n\n<p>With Plug and AI in mind, Horned Sungem is dedicated to <g class=\"gr_ gr_4 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar multiReplace\" id=\"4\" data-gr-id=\"4\">be<\/g>ing the simplest AI device allowing developers, students, AI hobbyist and enthusiasts to create their own AI applications with ease. Without any dependency on deep learning frameworks or complex libraries, your device will be ready to see and understand the world after you plug HS into the USB port and run a short installation script.<br><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2019\/04\/Horned-Sungem-1.gif\" alt=\"\" class=\"wp-image-21612\" width=\"461\" height=\"266\"\/><\/figure><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Speech Recognition &amp; NLP<\/h3>\n\n\n\n<p>Natural Language Processing (NLP) refers to <g class=\"gr_ gr_29 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins replaceWithoutSep\" id=\"29\" data-gr-id=\"29\">AI<\/g> method of building systems that can understand language.<\/p>\n\n\n\n<p>NLP is required when building intelligent systems to ask robots to perform per given instructions.<\/p>\n\n\n\n<p><a href=\"http:\/\/wiki.seeedstudio.com\/ReSpeaker\/\">ReSpeaker<\/a> is an open modular voice interface to energize the world around you just using your voice. Interact with home appliances, plants, the office, internet-connected devices and other things in day-to-day life, with the power of speech. The ReSpeaker project provides hardware components and software libraries to build fully voice-enabled devices.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/github.com\/SeeedDocument\/ReSpeaker\/raw\/master\/img\/vui.png\" alt=\"\"\/><\/figure>\n\n\n\n<p>The below table we focused on the hardware specification and  features to help you choose the most suitable development boards, modules and kits for you specific area projects. <\/p>\n\n\n\n<style type=\"text\/css\">\n.tg  {border-collapse:collapse;border-spacing:0;border-color:#999;}\n.tg td{font-family:Arial, sans-serif;font-size:14px;padding:10px 5px;border-style:solid;border-width:0px;overflow:hidden;word-break:normal;border-top-width:1px;border-bottom-width:1px;border-color:#999;color:#444;background-color:#F7FDFA;}\n.tg th{font-family:Arial, sans-serif;font-size:14px;font-weight:normal;padding:10px 5px;border-style:solid;border-width:0px;overflow:hidden;word-break:normal;border-top-width:1px;border-bottom-width:1px;border-color:#999;color:#fff;background-color:#26ADE4;}\n.tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:top}\n.tg .tg-17k7{background-color:#26ade4;border-color:inherit;text-align:center;vertical-align:top}\n.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}\n<\/style>\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 1131px\">\n<colgroup>\n<col style=\"width: 98.003906px\">\n<col style=\"width: 125.003906px\">\n<col style=\"width: 250.003906px\">\n<col style=\"width: 253.003906px\">\n<col style=\"width: 220.003906px\">\n<col style=\"width: 185.003906px\">\n<\/colgroup>\n  <tr>\n    <th class=\"tg-c3ow\" rowspan=\"2\"><\/th>\n    <th class=\"tg-c3ow\" colspan=\"4\">Key Parameters<\/th>\n    <th class=\"tg-c3ow\" rowspan=\"2\"><br><br>Products<br><\/th>\n  <\/tr>\n  <tr>\n    <td class=\"tg-17k7\"><span style=\"color:rgb(255, 255, 255)\">SoM\/Soc\/CPU<\/span><\/td>\n    <td class=\"tg-17k7\"><span style=\"color:rgb(255, 255, 255)\">NPU\/TPU\/VPN\/KPUperformance<\/span><\/td>\n    <td class=\"tg-17k7\"><span style=\"color:rgb(255, 255, 255)\">Key HardwareFeatures<\/span><\/td>\n    <td class=\"tg-17k7\"><span style=\"color:rgb(255, 255, 255)\">Supported OS\/Framework\/SDK\/Languages<\/span><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\" rowspan=\"10\"><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>AI Modules \/ Dev. Boards \/ Kits<\/td>\n    <td class=\"tg-0pky\" rowspan=\"4\">RISC-V Dual Core 64-bit @400MHz, independent FPU, KPU,APU<\/td>\n    <td class=\"tg-0pky\" rowspan=\"4\">independent KPU<br>0.5TOPS<br>0.5TOPS@800MHz<br>0.25TOPS@400MHz,300mW<\/td>\n    <td class=\"tg-0pky\" rowspan=\"4\">3-channel DC-DC power8MB\/16MB\/128MB FlashWiFi chip ESP8285<\/td>\n    <td class=\"tg-0pky\" rowspan=\"4\">OS: -Framework: Tiny YOLO \/ MobileNet v1 \/ TensorFlow LiteLanguages: Micropython \/ C++SDK: Maixpy \/ Standalone SDK \/ FreeRTOS SDK<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAIX-I-module-WiFi-version-1st-RISC-V-64-AI-Module-K210-inside-p-3206.html\">Sipeed MAix-I Module<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAix-BiT-for-RISC-V-AI-IoT-p-2872.html\">Sipeed MAix BiT<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/Sipeed-M1w-dock-suit-M1w-dock-2-4-inch-LCD-OV2640-K210-Dev-Board-1st-RV64-AI-board-for-Edge-Computing-p-3207.html\">Sipeed M1w Dock Suit<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/Sipeed-MAix-GO-Suit-for-RISC-V-AI-IoT-p-2874.html\">Sipeed MAix GO Suit<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">Edge TPU Module \/ NXP i.MX 8M SOC<\/td>\n    <td class=\"tg-0pky\">&#8211;<\/td>\n    <td class=\"tg-0pky\">Integrated GC7000 Lite Graphics1 GB LPDDR48 GB eMMC802.11b\/g\/n\/acGigabit Ethernet port3.5mm audio jack HDMI 2.0a (full size) 39-pin FFC connector<\/td>\n    <td class=\"tg-0pky\">OS: Debian LinuxFramework: TensorFlow LiteLanguages: Python(C++ Coming soon)<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/Coral-Dev-Board-p-2900.html\">Google Coral Dev Board with a removable SOM<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">Rockchip RK3399<\/td>\n    <td class=\"tg-0pky\">Lightspeeur 2801S5.6 TOPS5.6 TOPS@100MHz2.8 TOPS@300mW<\/td>\n    <td class=\"tg-0pky\">ARM Mali-T860 MP4 quad core GPUVPU Support 4K VP9 and 4K 10bits H265\/H264 video decoding, up to 60 fpsGigabit Ethernet<\/td>\n    <td class=\"tg-0pky\">Supported OS: Ubuntu18.04 \/ Debian9 \/ Linux+QT \/ xserver \/ wayland \/ Android 8.1Supported Framework: Pytorch \/ Caffe \/ TensorFlow LiteSupported Languages: Supported SDK: GTI SDK \/ Linux SDK \/ Android SDK \/ Firefly API<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/NCC-S1-ROC-RK3399-PC-AI-Package-p-2866.html\">NCC S1+ ROC-RK3399-PC AI Package<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">GAP8<\/td>\n    <td class=\"tg-0pky\">8 GOPS200 MOPS@1mW<\/td>\n    <td class=\"tg-0pky\">RISC-V, Hardware Convolution Engine, ARDUINO form factor<\/td>\n    <td class=\"tg-0pky\">Supported Framework: TensorFlowSupported Languages: C\/ C++ \/ OpenMPSupported SDK: CMSIS API<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/GAPUINO-GAP8-Developer-Kit-1st-fully-programmable-multi-core-RISC-V-Processor-for-IoT-Application-p-3090.html\">GAPUINO GAP8 Developer Kit<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">HiSilicon Kirin 970<\/td>\n    <td class=\"tg-0pky\">FP16: 1.92TFLOPS<\/td>\n    <td class=\"tg-0pky\">6GB LPDDR4X 1866MHz1080p@60Hz HDMIBluetooth\/WIFI\/GPS<\/td>\n    <td class=\"tg-0pky\">OS: Android \/ LinuxFramework: Caffe \/ TensorFlow \/ OpenCVLanguages: PythonSDK: HiAI SDK \/ HiAI API<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/HiKey-970-Development-Board-p-3046.html\">HiKey 970 Development Board<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">XC7Z020-1CLG400C<\/td>\n    <td class=\"tg-0pky\">&#8211;<\/td>\n    <td class=\"tg-0pky\">TBD<\/td>\n    <td class=\"tg-0pky\">TBD<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/PYNQ-Z2-board-based-on-Xilinx-Zynq-C7Z020-SoC-p-2835.html\">PYNQ\u2122 Z2 board &#8211; based on Xilinx Zynq C7Z020 SoC<\/a><\/td>\n  <\/tr>\n  <tr>\n    <td class=\"tg-0pky\">RK3308<\/td>\n    <td class=\"tg-0pky\">&#8211;<\/td>\n    <td class=\"tg-0pky\">Support DDR3\/NandFlash\/eMMC\/MicroSD\/802.11 b\/g\/n\/Bluetooth 4.2, built-in audio CODEC<\/td>\n    <td class=\"tg-0pky\">OS: Amazon AVS \/ DuerOS \/ AliOS Things \/ ROSFramework: -Languages: C \/ PythonSDK: Firefly SDK \/ Buildroot \/ DuerOS \/ Aispeech \/ iflytek \/ Amazon Alexa<\/td>\n    <td class=\"tg-0pky\"><a href=\"https:\/\/www.seeedstudio.com\/ROC-RK3308-CC-Quad-Core-64-Bit-AIOT-Main-Board-p-2869.html\">ROC-RK3308-CC Quad-Core 64-Bit AIOT Main Board<\/a><\/td>\n  <\/tr>\n<\/table>\n\n\n\n<p><strong>AI Enablement for the Grove system is ongoing!<\/strong><\/p>\n\n\n\n<p>We have now updated the Grove.py&nbsp;Python&nbsp;library to support the Coral Dev Board and NVIDIA Jetson Nano. Connect over 200 Grove modules simply and easily with the new libraries. <\/p>\n\n\n\n<p>Here is a blinking button demo with the Coral Dev board. <g class=\"gr_ gr_4 gr-alert gr_gramm gr_inline_cards gr_run_anim Grammar only-ins doubleReplace replaceWithoutSep\" id=\"4\" data-gr-id=\"4\">Code<\/g> can be found&nbsp;<a href=\"https:\/\/github.com\/Seeed-Studio\/grove.py\/blob\/master\/grove\/grove_button.py\">here<\/a>.<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">import time from grove.gpio <br>import GPIO <br>led = GPIO(12, GPIO.OUT) <br>button = GPIO(22, GPIO.IN) <br>while True:     <br>     if button.read():         <br>           led.write(1)     <br>     else:         <br>           led.write(0)     <br>     time.sleep(0.1)<\/pre>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"338\" src=\"https:\/\/blog.seeedstudio.com\/wp-content\/uploads\/2019\/04\/ezgif-4-6a03ec9e9816.gif\" alt=\"Connect Coral dev board with Grove modules\" class=\"wp-image-21500\"\/><figcaption>Connect Coral dev board with Grove modules.<\/figcaption><\/figure>\n\n\n\n<p>In the near future, Seeed will also expand the Grove system to include Scenario kits with the community for real projects using Google\u2019s Edge TPU! Keep in touch with us! Let us know what you want to see in the&nbsp;<a href=\"https:\/\/forum.seeedstudio.com\/viewforum.php?f=110&amp;sid=8fa24b4463cd87a76f729a99a400555c\">forum<\/a>, and we will do our best to listen and take action!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) is a computer system or other machine able to perform tasks 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