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Sensor Village
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Sensors open up worlds of possibilities. SunSPOT is Java compatible sensor technology. Small Programmable Object Technology = SPOT. Working with SunSPOT or other sensors? Experimenting or thinking about it? Come on in! We want to hear all about it!
Members: 5
Latest Activity: Sep 6, 2011
SunSPOT Overview
Discussion Forum
Getting started with Arduino
(photo by Nicholas Zambetti)I just went to the Maker Faire in the Bay Area with my friend Michael Hauser. The expo was filled with Arduino!…Continue
Tags: maker, faire, gainesville, hackerspace, banzi
Started by Michael Levin Jun 14, 2009.
Arduino sensors
I was talking with my friend Daniel at the McRorie Community Garden in Gainesville yesterday. He said that gardening sensors were all the…Continue
Tags: instructables, arduino, sensors
Started by Michael Levin May 8, 2009.
What are you doing with SunSPOT?
Please share your projects (or ideas) here.
Tags: sunspot
Started by Michael Levin Mar 18, 2009.
Roger Meike Discusses SunSPOTs at Google
Started by Michael Levin Mar 18, 2009.
What is a SunSPOT?
"What is a SPOT?It’s a piece of hardware that has an array of sensors, an IO port, a radio for wireless communications, a set of LEDs, some switches, a rechargeable battery and a USB port for…Continue
Started by Michael Levin Mar 18, 2009.
SunSPOT Reading List
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Comment Wall
Comment
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Comment by Michael Levin on May 27, 2009 at 9:16am
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Vlad, I have been looking at Arduino and will go to the http://makerfaire.com/ in a few days! I'll let you know what I learn...
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Comment by Vladimir Vivien on May 27, 2009 at 7:46am
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Mike, great group. I have a SunSpot and it's a great toy (platform). Also, couple of other great Java-based embedded computing platforms 1) http://www.sentilla.com/developer.html Sentilla Perks and the http://BugLabs.com. Check them out.
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Happy 10th year, JCertif!
Notes
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Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Elastic Stack 7.6 Released with Security, Performance, and Observability Improvements
Elastic announced the release of Elastic Stack 7.6. This release contains a number of security improvements including a new SIEM detection engine and a redesigned SIEM overview dashboard page. This release also includes performance improvements to queries that are sorted by date, enhanced supervised machine learning capabilities, and support for ingesting Jaeger trace data.
By Matt CampbellArticle: Q&A on the Book Unleashing the Power of Diversity
The book Unleashing the Power of Diversity by Bjørn Z. Ekelund describes the Diversity Icebreaker, an experiential communication exercise where people learn about themselves and others. The differences are named Red, Blue and Green, a language of diversity that is relevant for interaction, problem solving, giving feedback, and creating inclusiveness and trust.
By Ben Linders, Bjørn EkelundVisual Studio 2019 for Mac Adds ASP.NET Core Blazor Server Applications
In January, Microsoft released Visual Studio 2019 for Mac 8.4.3 with a handful of features and improvements that were a direct request from developers on their developer community forum. Visual Studio for Mac can target the latest platform capabilities, for Android, iOS, as well .NET Core application that can be hosted on Windows, macOS or Linux.
By Vinicius LeitePodcast: Steve Milligan on Agile Finance and Finding Synergies
In this podcast recorded at Agile 2019, Shane Hastie, Lead Editor for Culture & Methods, spoke to Steve Milligan about his work in Agile Finance and bringing the back-office along on the agile transformation journey.
By Steve MilliganMicrosoft Open-Sources Project Petridish for Deep-Learning Optimization
A team from Microsoft Research and Carnegie Mellon University has open-sourced Project Petridish, a neural architecture search algorithm that automatically builds deep-learning models that are optimized to satisfy a variety of constraints. Using Petridish, the team achieved state-of-the-art results on the CIFAR-10 benchmark with only 2.2M parameters and five GPU-days of search time.
By Anthony Alford
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