<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xml:base="http://subspacecommunique.com"  xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel>
 <title>Subspace Communique - Star Trek Real Science</title>
 <link>/taxonomy/term/124/0</link>
 <description></description>
 <language>en</language>
<item>
 <title>Star Trek Style Universal Translator Fast Approaching. Qapla&#039;!</title>
 <link>/content/2012/11/13/star-trek-style-universal-translator-fast-approaching-qapl%E2%80%99</link>
 <description>&lt;p&gt;&lt;img height=&quot;349&quot; src=&quot;/sites/default/files/1112-general/hoshi.jpg&quot; width=&quot;618&quot; /&gt;&lt;/p&gt;
&lt;p&gt;Ok, so I would have translated that whole title into &lt;span data-scayt_word=&quot;Klingon&quot; data-scaytid=&quot;1&quot;&gt;Klingon&lt;/span&gt;, but my language skills suck so bad that I’m pretty sure a &lt;span data-scayt_word=&quot;targ&quot; data-scaytid=&quot;3&quot;&gt;targ&lt;/span&gt; could write &lt;span data-scayt_word=&quot;Klingon&quot; data-scaytid=&quot;2&quot;&gt;Klingon&lt;/span&gt; better than I. Anyway…how cool is it that we’re one step closer to a real universal translator? And this step…is a &lt;span data-scayt_word=&quot;doozy&quot; data-scaytid=&quot;4&quot;&gt;doozy&lt;/span&gt;.&lt;/p&gt;
&lt;p&gt;Microsoft recently showed off new technology that, not only translates your spoken word into another language in real time, but also makes the voice of the translated version sound very much like the actual speaker’s voice.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;/content/2012/11/13/star-trek-style-universal-translator-fast-approaching-qapl%E2%80%99&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <category domain="/category/tags/star-trek-real-science">Star Trek Real Science</category>
 <category domain="/category/tags/trek-culture">Trek Culture</category>
 <pubDate>Wed, 14 Nov 2012 00:26:07 +0000</pubDate>
 <dc:creator>Crewman Becky</dc:creator>
 <guid isPermaLink="false">1435 at http://subspacecommunique.com</guid>
</item>
<item>
 <title>Is This The First Step To Geordi La Forge’s Visor?</title>
 <link>/content/2011/04/25/first-step-geordi-la-forge%E2%80%99s-visor</link>
 <description>&lt;p&gt;&lt;img alt=&quot;Is This The First Step To Geordi La Forge’s Visor?&quot; src=&quot;/sites/default/files/0411-general/geordi.jpg&quot; style=&quot;width: 618px; height: 375px; &quot; /&gt;&lt;/p&gt;
&lt;p&gt;We here at Subspace Communique are always excited when we hear about new technology that is inspired by, similar to, or even heading in the direction of Star Trek gadgets that made all of our favorite characters’ lives easier onscreen. Personally, we can’t wait for the day when transporters make plane travel no longer necessary, but until then we’ll be excited about this new bit of tech from Google that is teaching computers to see. Google “Goggles” is a piece of software that works with a cell phone’s camera to identify objects in photographs.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;With Goggles, the user snaps a picture, which is transmitted across cellular networks to Google&#039;s servers. Google&#039;s computers then tell the phone what they recognized in the photo. This process can take only a second or two -- and sometimes even less.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;/content/2011/04/25/first-step-geordi-la-forge%E2%80%99s-visor&quot; target=&quot;_blank&quot;&gt;read more&lt;/a&gt;&lt;/p&gt;</description>
 <category domain="/category/tags/star-trek-real-science">Star Trek Real Science</category>
 <category domain="/category/tags/trek-culture">Trek Culture</category>
 <pubDate>Tue, 26 Apr 2011 02:25:33 +0000</pubDate>
 <dc:creator>Crewman Becky</dc:creator>
 <guid isPermaLink="false">1096 at http://subspacecommunique.com</guid>
</item>
</channel>
</rss>
