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On September 7, 2016, Unified Patents Inc. filed a petition for inter partes review against all claims of a patent owned and asserted by Digital Stream IP, LLC in the Eastern District of Texas. The challenged patent, 6,757,913, discusses the wireless transmission of digital data. A copy of the proceeding can be found below.

http://www.mint.com | It's official, trillion is the new billion. No longer is government spending talked about in terms of a mere ten digits. With the recent flurry of government spending, we are going to need another three zeros to make sense of it all. One trillion dollars is a number that few people can comprehend, let alone your standard nine digit calculator. So what does one trillion dollars look like?

On September 2, 2016, Unified Patents Inc. filed a petition for IPR against all claims of U.S. 7,490,037, a patent ostensibly owned and asserted by Digital Audio Encoding Systems, LLC against 28 companies since June 2016. A copy of the petition is found below. Unified Patents Inc. v.

It is unsurprising that the 9/11 attack fostered a massive expansion of America's already sprawling Surveillance State. But what is surprising, or at least far less understandable, is that this growth shows no signs of abating even as we approach almost a full decade of emotional and temporal distance from that event. The spate of knee-jerk legislative expansions in the immediate aftermath of the 9/11 trauma - the USA-PATRIOT Act - has actually been exceeded by the expansions of the last several years - first secretly and lawlessly by the Bush administration, and then legislatively and out in the open once Democrats took over control of the Congress in 2006. Simply put, there is no surveillance power too intrusive or unaccountable for our political class provided the word "terrorism" is invoked to "justify" those powers.

When Congress updated copyright laws and passed the Digital Millennium Copyright Act (DMCA) in 1998, it ushered an era of investment, innovation and job creation.  In the decade since, companies like Google, YouTube and Twitter have emerged thanks to the Act, but in the process, they have disrupted the business models and revenue streams of traditional media companies (TMCs).  Today, the TMCs are trying to fast-track a couple of bills in the House and Congress to reverse all of that. Through their lobbyists in Washington, D.C., media companies are trying to rewrite the DMCA through two new bills.  The content industry's lobbyists have forged ahead without any input from the technology industry, the one in the Senate is called Protect IP and the one in the House is called E-Parasites.  The E-Parasite law would kill the safe harbors of the DMCA and allow traditional media companies to attack emerging technology companies by cutting off their ability to transact and collect revenue, sort of what happened to Wikileaks, if you will.  This would scare VCs from investing in such tech firms, which in turn would destroy job creation. The technology industry is understandably alarmed by its implications, which include automatic blacklists for any site issued a takedown notice by copyright holders that would extend to payment providers and even search engines.   What is going on and how exactly did we get here?

One of the most fascinating things to come out of the current We Are 99%/Occupy Wall Street protests is the We Are 99% Tumblr.  At the site, people hold up signs that explain their current circumstances, and it tells the story of a whole range of Americans struggling in the Lesser Depression.  It is highly recommended. DATA The site features pictures of individuals holding their signs, and occasionally the tumblr reproduces the text of the signs themselves underneath the image as html text.  Sometimes the text under the image is blank, sometimes it is a different message, but often it is the sign itself. In order to get a slightly better empirical handle on this important tumblr, I created a script designed to read all of the pages and parse out the html text on the site.  It doesn't read the images (can anyone in the audience automate calls to an OCR?), just the html text.  After collecting all the text on all the pages, the code then goes through it to try to find interesting points. It's a fun exercise, pointing out things I wouldn't have seen otherwise.  For instance, I found this adorable little rascal, pictured below, mucking up the algorithm, as the first version of the code assumed all the ages would have two digits.  I found that he, and the sign his mom made for him as a confessional to her son, hit me a ton harder than any of the more direct signs of despair in this economy:

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