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What is the Raspberry Pi 3? Everything you need to know about the tiny, low-cost computer

ZDNet

The Raspberry Pi 3 Model B is the latest version of the $35 Raspberry Pi computer. The Pi isn't like your typical machine, in its cheapest form it doesn't have a case, and is simply a credit-card sized electronic board -- of the type you might find inside a PC or laptop but much smaller. See also: Raspberry Pi: The smart person's guide As you can see below you can use the Pi 3 as a budget desktop, media center, retro games console, or router for starters. However that is just the tip of the iceberg. There are hundreds of projects out there, where people have used the Pi to build tablets, laptops, phones, robots, smart mirrors, to take pictures on the edge of space, to run experiments on the International Space Station -- and that's without mentioning the wackier creations -- self-driving goldfish anyone?


Running Hadoop on a Raspberry Pi 2 cluster ZDNet

@machinelearnbot

I've been involved with cluster computing ever since DEC introduced VAXcluster in 1984. Today you can build a much more powerful cluster for under $1,000, including much more storage than anyone could afford back then. Hadoop is the open-source version of Google's Map/Reduce and Google File System (GFS), widely used for large data-crunching applications. It is a shared-nothing cluster, which means that as you add cluster nodes, performance scales up smoothly. Raspberry Pi: Hands-on with the Pi-Desktop kit Raspberry Pi's smaller, cheaper rival: NanoPi Neo Plus2 weighs in at $25 This is why you need to learn the Raspberry Pi 3 (ZDNet Academy) Building a 300 node Raspberry Pi supercomputer Raspberry Pi: Google plans more AI projects to follow DIY voice recognition kit Raspberry Pi computing cluster: What I'm using it for, and what I've added to it In the paper, Performance of a Low Cost Hadoop Cluster for Image Analysis, researchers Basit Qureshia, Yasir Javeda, Anis Kouba, Mohamed-Foued Sritic, and Maram Alajlan, built a 20 node RPi Model 2 cluster, brought up Hadoop on it, and used it for surveillance drone image analysis.


Running Hadoop on a Raspberry Pi 2 cluster

ZDNet

I've been involved with cluster computing ever since DEC introduced VAXclusters in 1984. Today you can build a much more powerful cluster for under $1,000, including much more storage than anyone could afford back then. Hadoop is the open-source version of Google's Map/Reduce and Google File System (GFS), widely used for large data-crunching applications. It is a shared-nothing cluster, which means that as you add cluster nodes, performance scales up smoothly. In the paper, Performance of a Low Cost Hadoop Cluster for Image Analysis, researchers Basit Qureshia, Yasir Javeda, Anis Kouba, Mohamed-Foued Sritic, and Maram Alajlan, built a 20 node RPi Model 2 cluster, brought up Hadoop on it, and used it for surveillance drone image analysis.


Meet Mycroft: Open Source Artificial Intelligence Powered by Snappy

#artificialintelligence

This is a guest post by the Mycroft team as part of "the startup stories", a series of blog posts about how and why innovative companies are using Ubuntu technology. If you work in technology you've probably had this dream. You wake up and your whole house is a computer, a starship in cyberspace that listens to you, understands you, and performs tasks effortlessly. Mycroft A.I. is achieving that dream using Snappy Ubuntu Core. Mycroft is an open source / open hardware project that is working to bring natural language recognition and Internet of Things (IoT) integration to homes and offices everywhere.


Windows IoT: Facial Recognition Door

#artificialintelligence

This project is part of Microsoft's Hack the Home initiative, which provides makers with free, open-source components for effortless interfacing with devices and services that makers use most to hack their homes. Home security systems are a growing field of projects for Makers. A self-built system is not only less expensive than a bulky professional installation, but it also allows for total control and customization to suit your needs. With the introduction of Microsoft's Project Oxford, facial recognition applications are now more accessible to makers than ever before. This project utilizes a Raspberry Pi, basic Webcam, and an internet connection to create a door that unlocks itself via facial recognition.