HP has just unveiled an incredibly ambitious project to create a “Central Nervous System for the Earth” (CeNSE) composed of billions of super sensitive, cheap, and tough sensors. The project involves distributing these sensors throughout the world and using them to gather data that could be used to detect everything from infrastructure collapse to environmental pollutants to climate change and impending earthquakes. From there, the “Internet of Things” and smarter cities are right around the corner.HP is currently developing its first sensor to be deployed, which is an accelerometer 1,000 times more sensitive than those used in the Wii or the iPhone – it’s capable of detecting motion and vibrations as subtle as a heartbeat. The company also has plans to use nanomaterials to create chemical and biological sensors that are 100 million times more sensitive than current models. Their overall goal is to use advances in sensitivity and nanotech to shrink the size of these devices so that they are small enough to clip onto a mobile telephone.Once HP has created an array of sensors, the next step is distributing them and making sense of all the data they generate. That’s no easy task, granted that a network of one million sensors running 24 hours a day would create 20 petabytes of data in just six months. HP is taking all that number crunching to task however, and will be harnessing its in-house networking expertise, consulting, and data storage technologies for the project.The creation of a global sensor system would be an incredible breakthrough – it could make our cities more efficient, save lives, and enable us to better understand, track, and combat climate change. As HP Labs senior researcher Peter Hartwell has stated, “If we’re going to save the planet, we’ve got to monitor it“.+ CeNSEVia Fast CompanyLead photo by Margie Wylie Comments RSS Comments RSS digg_url = 'http://www.inhabitat.com/2010/02/18/hp-invents-a-central-nervous-system-for-the-earth/';
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yc c on 15 Jun 10Here's a roundup of the APIs to mine Twitter data: Trstrank: The PageRank-esque algorithm we covered previouslyWordbag: A list of "most common words" for a user with a twist. Universally-common words are essentially filtered out because InfoChimps compares a user's word choice to all of Twitter.Influence: Gets the number of replies in and out for the user, along wiht the number of tweets and the age of the account. Analysis of influence is up to you.Conversation: Provides a summary of public interactions between two users. Results are a list of tweets in which the first user replied to the second.
