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	<title>RAPIDMIX &#187; features</title>
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	<description>Realtime Adaptive Prototyping for Industrial Design of Multimodal Interactive eXpressive technology</description>
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		<title>Direct integration with Biosignals Hardware</title>
		<link>http://rapidmix.goldsmithsdigital.com/features/direct-integration-with-biosignals-hardware/</link>
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		<pubDate>Mon, 20 Apr 2015 18:04:22 +0000</pubDate>
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		<description><![CDATA[The Rapi-Api provides an easy to use biosignal hardware for performance, health and gaming, through direct integration with PLUX BITalino and OpenSignals framework.]]></description>
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		<title>Audio processing</title>
		<link>http://rapidmix.goldsmithsdigital.com/features/audio-processing/</link>
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		<pubDate>Mon, 20 Apr 2015 17:57:30 +0000</pubDate>
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		<description><![CDATA[Rapid-API integrates Maximilian and Papa Engine features set as an incredibly sophisticated and cross-platform audio engine to be simple to use. The syntax and program structure are based on the popular ‘Processing’ environment, will provide standard waveforms, envelopes, sample playback, resonant filters, and delay lines, equal power stereo, quadraphonic and 8-channel ambisonic support is included. There’s...]]></description>
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		<title>Free, Open Source and Cross-Platform</title>
		<link>http://rapidmix.goldsmithsdigital.com/features/free-open-source-and-cross-platform/</link>
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		<pubDate>Mon, 20 Apr 2015 17:45:12 +0000</pubDate>
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		<description><![CDATA[Free, Open Source (LGPLv3*) and Cross-Platform, the RAPID-API, as one of the main outcomes of the Rapid-Mix project, is a software framework that connects multimodal sensors, including position, movement, biosignal signals, for performance, health and gaming.]]></description>
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		<title>Interactive Machine Learning</title>
		<link>http://rapidmix.goldsmithsdigital.com/features/interactive-machine-learning/</link>
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		<pubDate>Mon, 20 Apr 2015 17:42:58 +0000</pubDate>
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		<description><![CDATA[RAPID-API will facilitate the rapid development of and experimentation with machine learning in real-time domains such as music performance, health and gaming. It allows users to build interactive systems by demonstrating human actions and computer responses, rather than by programming. It offers a significant range of learning methods such as including neural networks, AdaBoost, support...]]></description>
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