Europol Predicts Rise of ‘Criminal’ Crypto Exchanges in Digital Underground
Oct16

Europol Predicts Rise of ‘Criminal’ Crypto Exchanges in Digital Underground

Is the current industry landscape, where centralized exchanges dominate cryptocurrency trading volumes, about to change in the coming years? Europol predicts that international regulatory demands for identity verification on established venues will push privacy concerned traders into so-called ‘criminal’ services in the digital underground. Also Read: Berlusconi Admins Disappear — Darknet Users Rush to Find...

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Key Internet Players Call For Clarification of ‘Notorious Piracy Market’ Term
Oct16

Key Internet Players Call For Clarification of ‘Notorious Piracy Market’ Term

Earlier this month, several copyright holder groups sent their annual “notorious markets” submissions to the U.S. Trade Representative (USTR). The U.S. Government uses this input for its annual review of notorious piracy markets, an overview of threats to various copyright industries. The recommendations, including those from the RIAA, MPA, and ESA, traditionally include well-known piracy sites such as The Pirate Bay, but...

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Twitter Suspends Trump Meme Creator…But Not For the ‘Kingsman’ Bloodbath Video
Oct16

Twitter Suspends Trump Meme Creator…But Not For the ‘Kingsman’ Bloodbath Video

There was uproar in the media this past weekend after a violent video meme was reportedly shown at a pro-Trump conference. The video, a doctored version of the famous church scene from the movie Kingsman, depicts Trump killing his critics, from both the media and politics. The video was made by TheGeekzTeam, an entity that creates content for a website run by Carpe Donktum, a prolific pro-Trump supporter and meme-maker. During the...

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Open source interior design with Sweet Home 3D
Oct16

Open source interior design with Sweet Home 3D

There are three schools of thought on how to go about decorating a room: read...

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Predicting NFL play outcomes with Python and data science
Oct16

Predicting NFL play outcomes with Python and data science

If you made through part 1, congrats! You have the patience it takes to format data. In that article, I cleaned up my National Football League data set using a few Python libraries and some basic football knowledge. Picking up where I left off, it’s time to take a closer look at my data set. read...

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